From 5a19931a0922e3c205afd1094d5f9edc46c98ce9 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 6 Nov 2019 13:00:07 +0100
Subject: [PATCH 01/37] init feather implementation

---
 openml/datasets/dataset.py | 64 ++++++++++++++++++++++++++++----------
 1 file changed, 48 insertions(+), 16 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 26215736d..ffd8bb5d5 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -5,6 +5,7 @@
 import logging
 import os
 import pickle
+import pyarrow.feather as feather
 from typing import List, Optional, Union, Tuple, Iterable, Dict
 
 import arff
@@ -178,9 +179,10 @@ def __init__(self, name, description, format=None,
         self.qualities = _check_qualities(qualities)
 
         if data_file is not None:
-            self.data_pickle_file = self._create_pickle_in_cache(data_file)
+            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(data_file)
         else:
             self.data_pickle_file = None
+            self.data_feather_file = None
 
     @property
     def id(self) -> Optional[int]:
@@ -397,15 +399,27 @@ def _parse_data_from_arff(
     def _create_pickle_in_cache(self, data_file: str) -> str:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
+        data_feather_file = data_file.replace('.arff', '.feather')
         if os.path.exists(data_pickle_file):
-            # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
-            with open(data_pickle_file, "rb") as fh:
-                try:
-                    data, categorical, attribute_names = pickle.load(fh)
-                except EOFError:
-                    # The file is likely corrupt, see #780.
-                    # We deal with this when loading the data in `_load_data`.
-                    return data_pickle_file
+            if os.path.exists(data_feather_file):
+                data = feather.read_feather(data_feather_file)
+                with open(data_pickle_file, "rb") as fh:
+                    try:
+                        categorical, attribute_names = pickle.load(fh)
+                    except EOFError:
+                        # The file is likely corrupt, see #780.
+                        # We deal with this when loading the data in `_load_data`.
+                        return data_pickle_file, data_feather_file
+
+            else:
+                # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
+                with open(data_pickle_file, "rb") as fh:
+                    try:
+                        data, categorical, attribute_names = pickle.load(fh)
+                    except EOFError:
+                        # The file is likely corrupt, see #780.
+                        # We deal with this when loading the data in `_load_data`.
+                        return data_pickle_file, data_feather_file
 
             # Between v0.8 and v0.9 the format of pickled data changed from
             # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
@@ -414,32 +428,50 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
             # pd.DataFrame blob. See also #646.
             if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
                 logger.debug("Data pickle file already exists and is up to date.")
-                return data_pickle_file
+                return data_pickle_file, data_feather_file
 
         # At this point either the pickle file does not exist, or it had outdated formatting.
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
+        f = 0
+        try:
+            print("feather")
+            f = 1
+            feather.write_feather(X, data_feather_file)
+        except:
+            print("pickle")
+            with open(data_pickle_file, "wb") as fh:
+                pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
+        if f:
+            with open(data_pickle_file, "wb") as fh:
+                pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
+
 
-        with open(data_pickle_file, "wb") as fh:
-            pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         logger.debug("Saved dataset {did}: {name} to file {path}"
                      .format(did=int(self.dataset_id or -1),
                              name=self.name,
                              path=data_pickle_file)
                      )
 
-        return data_pickle_file
+        return data_pickle_file, data_feather_file
 
     def _load_data(self):
         """ Load data from pickle or arff. Download data first if not present on disk. """
         if self.data_pickle_file is None:
             if self.data_file is None:
                 self._download_data()
-            self.data_pickle_file = self._create_pickle_in_cache(self.data_file)
+            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(self.data_file)
 
         try:
-            with open(self.data_pickle_file, "rb") as fh:
-                data, categorical, attribute_names = pickle.load(fh)
+            if os.path.exists(self.data_feather_file):
+                print("feather")
+                data = feather.read_feather(self.data_feather_file)
+                with open(self.data_pickle_file, "rb") as fh:
+                    categorical, attribute_names = pickle.load(fh)
+            else:
+                print("pickle")
+                with open(self.data_pickle_file, "rb") as fh:
+                    data, categorical, attribute_names = pickle.load(fh)
         except EOFError:
             logger.warning(
                 "Detected a corrupt cache file loading dataset %d: '%s'. "

From 6d2f5c3a5ebf954bd60ae1bea353107673bf8931 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Fri, 8 Nov 2019 17:19:29 +0100
Subject: [PATCH 02/37] sparse matrix

---
 openml/datasets/dataset.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index f361b850d..5d47d3306 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -9,7 +9,7 @@
 import pickle
 import pyarrow.feather as feather
 from typing import List, Optional, Union, Tuple, Iterable, Dict
-
+import shutil
 import arff
 import numpy as np
 import pandas as pd
@@ -436,18 +436,16 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
         f = 0
-        try:
-            print("feather")
-            f = 1
+
+        if type(X) != scipy.sparse.csr.csr_matrix:
+            print("feather write")
             feather.write_feather(X, data_feather_file)
-        except:
-            print("pickle")
-            with open(data_pickle_file, "wb") as fh:
-                pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
-        if f:
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
-
+        else:
+            print("pickle write")
+            with open(data_pickle_file, "wb") as fh:
+                pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
 
         logger.debug("Saved dataset {did}: {name} to file {path}"
                      .format(did=int(self.dataset_id or -1),
@@ -459,6 +457,7 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
 
     def _load_data(self):
         """ Load data from pickle or arff. Download data first if not present on disk. """
+        print("load data")
         if self.data_pickle_file is None:
             if self.data_file is None:
                 self._download_data()
@@ -466,12 +465,13 @@ def _load_data(self):
 
         try:
             if os.path.exists(self.data_feather_file):
-                print("feather")
+                print("feather load data")
                 data = feather.read_feather(self.data_feather_file)
+
                 with open(self.data_pickle_file, "rb") as fh:
                     categorical, attribute_names = pickle.load(fh)
             else:
-                print("pickle")
+                print("pickle load data")
                 with open(self.data_pickle_file, "rb") as fh:
                     data, categorical, attribute_names = pickle.load(fh)
         except EOFError:

From 33881eaa204dd99f5721b4528835b3f34a0fd9f5 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Fri, 8 Nov 2019 17:22:29 +0100
Subject: [PATCH 03/37] test notebook

---
 test_arrow.ipynb | 1035 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 1035 insertions(+)
 create mode 100644 test_arrow.ipynb

diff --git a/test_arrow.ipynb b/test_arrow.ipynb
new file mode 100644
index 000000000..96977906f
--- /dev/null
+++ b/test_arrow.ipynb
@@ -0,0 +1,1035 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import pyarrow as pa\n",
+    "import pyarrow.feather as feather\n",
+    "import pyarrow.parquet as parquet\n",
+    "from openml import datasets, study\n",
+    "import time\n",
+    "import pickle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepallength</th>\n",
+       "      <th>sepalwidth</th>\n",
+       "      <th>petallength</th>\n",
+       "      <th>petalwidth</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>6.5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5.2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Iris-virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>Iris-virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5.1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>Iris-virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>151</th>\n",
+       "      <td>sepallength</td>\n",
+       "      <td>sepalwidth</td>\n",
+       "      <td>petallength</td>\n",
+       "      <td>petalwidth</td>\n",
+       "      <td>class</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepallength  sepalwidth  petallength  petalwidth           class\n",
+       "147          6.5           3          5.2           2  Iris-virginica\n",
+       "148          6.2         3.4          5.4         2.3  Iris-virginica\n",
+       "149          5.9           3          5.1         1.8  Iris-virginica\n",
+       "150            0           0            0           0            True\n",
+       "151  sepallength  sepalwidth  petallength  petalwidth           class"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_datasets = datasets.list_datasets(output_format=\"dataframe\")\n",
+    "list_datasets_feats = list_datasets.sort_values(by=\"NumberOfFeatures\", ascending=False)[:100]\n",
+    "#list_datasets_ins = list_datasets.sort_values(by=\"NumberOfInstances\", ascending=False)[1:5]\n",
+    "list_datasets = list_datasets_feats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "most_instances = list_datasets[\"did\"].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4137\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "1594\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "1085\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
+      "41533\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\s164255\\documents\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21230794/Domainome.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "398\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
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+      "41165\n",
+      "feather write\n",
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+      "feather load data\n",
+      "1434\n",
+      "pickle write\n",
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+      "feather write\n",
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+      "feather load data\n",
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+      "feather write\n",
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+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
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+      "feather write\n",
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+      "feather load data\n",
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+      "load data\n",
+      "pickle load data\n",
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+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "1101\n",
+      "feather write\n",
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+      "feather load data\n",
+      "1102\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "1109\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "395\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "1561\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "401\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "392\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "386\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "40926\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n"
+     ]
+    }
+   ],
+   "source": [
+    "writef = []\n",
+    "readf = []\n",
+    "size = []\n",
+    "for did in most_instances:\n",
+    "    print(did)\n",
+    "    data = datasets.get_dataset(int(did))\n",
+    "    x, y, categorical, attribute_names = data.get_data()\n",
+    "    df = pd.DataFrame(x, columns=attribute_names)\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        feather.write_feather(df, 'example_feather')\n",
+    "    except:\n",
+    "        pass\n",
+    "    end = time.time()\n",
+    "    writef.append(end-start)\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        feather.read_feather('example_feather')\n",
+    "    except:\n",
+    "        pass\n",
+    "    end = time.time()\n",
+    "    readf.append(end-start)\n",
+    "    size.append(df.memory_usage(index=True).sum() * 1e-9)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1085\n",
+      "1082\n",
+      "1080\n",
+      "1088\n",
+      "5648\n",
+      "5587\n",
+      "5889\n",
+      "40753\n"
+     ]
+    }
+   ],
+   "source": [
+    "writep = []\n",
+    "readp = []\n",
+    "for did in most_instances:\n",
+    "    print(did)\n",
+    "    data = datasets.get_dataset(int(did))\n",
+    "    x, y, categorical, attribute_names = data.get_data()\n",
+    "    df = pd.DataFrame(x, columns=attribute_names)\n",
+    "    start = time.time()\n",
+    "    df.to_pickle(\"example_pickle.pkl\") \n",
+    "    end = time.time()\n",
+    "    writep.append(end-start)\n",
+    "    start = time.time()\n",
+    "    pd.read_pickle(\"example_pickle.pkl\")\n",
+    "    end = time.time()\n",
+    "    readp.append(end-start)\n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  \n",
+      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
+      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  after removing the cwd from sys.path.\n",
+      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  \"\"\"\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>did</th>\n",
+       "      <th>name</th>\n",
+       "      <th>NumberOfFeatures</th>\n",
+       "      <th>NumberOfInstances</th>\n",
+       "      <th>featherwrite</th>\n",
+       "      <th>featherread</th>\n",
+       "      <th>picklewrite</th>\n",
+       "      <th>pickleread</th>\n",
+       "      <th>memoryusage(GB)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1085</th>\n",
+       "      <td>1085</td>\n",
+       "      <td>anthracyclineTaxaneChemotherapy</td>\n",
+       "      <td>61360.0</td>\n",
+       "      <td>159.0</td>\n",
+       "      <td>4.878029</td>\n",
+       "      <td>0.405963</td>\n",
+       "      <td>0.211385</td>\n",
+       "      <td>0.096001</td>\n",
+       "      <td>0.078049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1082</th>\n",
+       "      <td>1082</td>\n",
+       "      <td>rsctc2010_6</td>\n",
+       "      <td>59005.0</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>4.553995</td>\n",
+       "      <td>0.399999</td>\n",
+       "      <td>0.120983</td>\n",
+       "      <td>0.066000</td>\n",
+       "      <td>0.043427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1080</th>\n",
+       "      <td>1080</td>\n",
+       "      <td>rsctc2010_4</td>\n",
+       "      <td>54676.0</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>4.399991</td>\n",
+       "      <td>0.375000</td>\n",
+       "      <td>0.196714</td>\n",
+       "      <td>0.068998</td>\n",
+       "      <td>0.049426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1088</th>\n",
+       "      <td>1088</td>\n",
+       "      <td>variousCancers_final</td>\n",
+       "      <td>54676.0</td>\n",
+       "      <td>383.0</td>\n",
+       "      <td>4.827994</td>\n",
+       "      <td>0.364996</td>\n",
+       "      <td>0.426826</td>\n",
+       "      <td>0.189999</td>\n",
+       "      <td>0.167525</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5648</th>\n",
+       "      <td>5648</td>\n",
+       "      <td>COMET_MC</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>7619400.0</td>\n",
+       "      <td>0.431887</td>\n",
+       "      <td>0.139998</td>\n",
+       "      <td>0.915410</td>\n",
+       "      <td>0.325999</td>\n",
+       "      <td>0.304776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5587</th>\n",
+       "      <td>5587</td>\n",
+       "      <td>COMET_MC</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>7619400.0</td>\n",
+       "      <td>0.413011</td>\n",
+       "      <td>0.138970</td>\n",
+       "      <td>0.892200</td>\n",
+       "      <td>0.320999</td>\n",
+       "      <td>0.304776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5889</th>\n",
+       "      <td>5889</td>\n",
+       "      <td>COMET_MC</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>7619400.0</td>\n",
+       "      <td>0.414113</td>\n",
+       "      <td>0.138994</td>\n",
+       "      <td>0.909143</td>\n",
+       "      <td>0.346003</td>\n",
+       "      <td>0.304776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40753</th>\n",
+       "      <td>40753</td>\n",
+       "      <td>delays_zurich_transport</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>5465575.0</td>\n",
+       "      <td>2.345876</td>\n",
+       "      <td>0.737994</td>\n",
+       "      <td>6.379779</td>\n",
+       "      <td>2.959994</td>\n",
+       "      <td>0.617610</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         did                             name  NumberOfFeatures  \\\n",
+       "1085    1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
+       "1082    1082                      rsctc2010_6           59005.0   \n",
+       "1080    1080                      rsctc2010_4           54676.0   \n",
+       "1088    1088             variousCancers_final           54676.0   \n",
+       "5648    5648                         COMET_MC               6.0   \n",
+       "5587    5587                         COMET_MC               6.0   \n",
+       "5889    5889                         COMET_MC               6.0   \n",
+       "40753  40753          delays_zurich_transport              15.0   \n",
+       "\n",
+       "       NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
+       "1085               159.0      4.878029     0.405963     0.211385    0.096001   \n",
+       "1082                92.0      4.553995     0.399999     0.120983    0.066000   \n",
+       "1080               113.0      4.399991     0.375000     0.196714    0.068998   \n",
+       "1088               383.0      4.827994     0.364996     0.426826    0.189999   \n",
+       "5648           7619400.0      0.431887     0.139998     0.915410    0.325999   \n",
+       "5587           7619400.0      0.413011     0.138970     0.892200    0.320999   \n",
+       "5889           7619400.0      0.414113     0.138994     0.909143    0.346003   \n",
+       "40753          5465575.0      2.345876     0.737994     6.379779    2.959994   \n",
+       "\n",
+       "       memoryusage(GB)  \n",
+       "1085          0.078049  \n",
+       "1082          0.043427  \n",
+       "1080          0.049426  \n",
+       "1088          0.167525  \n",
+       "5648          0.304776  \n",
+       "5587          0.304776  \n",
+       "5889          0.304776  \n",
+       "40753         0.617610  "
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list_datasets = list_datasets[[\"did\", \"name\", \"NumberOfFeatures\", \"NumberOfInstances\"]]\n",
+    "list_datasets[\"featherwrite\"] = writef\n",
+    "list_datasets[\"featherread\"] = readf\n",
+    "list_datasets[\"picklewrite\"] = writep\n",
+    "list_datasets[\"pickleread\"] = readp\n",
+    "list_datasets[\"memoryusage(GB)\"] = size\n",
+    "list_datasets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather-write:\n",
+      "2.55 s ± 93.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# write to disk - feather\n",
+    "print('feather-write:')\n",
+    "%timeit feather.write_feather(df, 'example_feather')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "parquet-write:\n",
+      "4.25 s ± 46.6 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('parquet-write:')\n",
+    "%timeit parquet.write_table(pa.Table.from_pandas(df), 'example_pq.parquet')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "pickle-write:\n",
+      "6.52 s ± 228 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('pickle-write:')\n",
+    "%timeit df.to_pickle(\"example_pickle.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather-read:\n",
+      "471 ms ± 28.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# read - feather\n",
+    "print('feather-read:')\n",
+    "%timeit feather.read_feather('example_feather')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "paquet-read:\n",
+      "232 ms ± 7.21 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('paquet-read:')\n",
+    "%timeit parquet.read_table('example_parquet.parquet').to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "pickle-read\n",
+      "3.04 s ± 8.62 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('pickle-read')\n",
+    "%timeit pd.read_pickle(\"example_pickle.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataframe memory usage 0.078048903 gigabytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Dataframe memory usage\", df.memory_usage(index=True).sum() * 1e-9 , \"gigabytes\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<pyarrow._parquet.FileMetaData object at 0x0000019E943D7908>\n",
+       "  created_by: parquet-cpp version 1.5.1-SNAPSHOT\n",
+       "  num_columns: 61360\n",
+       "  num_rows: 159\n",
+       "  num_row_groups: 1\n",
+       "  format_version: 1.0\n",
+       "  serialized_size: 13820684"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "parquet_file = parquet.ParquetFile(\"example_pq.parquet\")\n",
+    "parquet_file.metadata"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 55743bd4561d121d667663a786d15a496a1a8c2c Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Fri, 8 Nov 2019 17:52:36 +0100
Subject: [PATCH 04/37] feather pickle compare

---
 df_feather.pkl | Bin 0 -> 10432 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 df_feather.pkl

diff --git a/df_feather.pkl b/df_feather.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..ce2f2d173d62dd3da8ff0bc211e1c033855df0cd
GIT binary patch
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HcmV?d00001


From 14370053befa5315e1d06733c84d15da06db7c0f Mon Sep 17 00:00:00 2001
From: sahithyaravi <sahithyaravi1493@gmail.com>
Date: Mon, 11 Nov 2019 10:16:43 +0100
Subject: [PATCH 05/37] test arrow vs feather

---
 test_arrow.ipynb | 17560 ++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 17171 insertions(+), 389 deletions(-)

diff --git a/test_arrow.ipynb b/test_arrow.ipynb
index 96977906f..1ec54e6a9 100644
--- a/test_arrow.ipynb
+++ b/test_arrow.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {
     "scrolled": true
    },
@@ -20,115 +20,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>sepallength</th>\n",
-       "      <th>sepalwidth</th>\n",
-       "      <th>petallength</th>\n",
-       "      <th>petalwidth</th>\n",
-       "      <th>class</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>147</th>\n",
-       "      <td>6.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5.2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Iris-virginica</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>148</th>\n",
-       "      <td>6.2</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>2.3</td>\n",
-       "      <td>Iris-virginica</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>149</th>\n",
-       "      <td>5.9</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5.1</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>Iris-virginica</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>150</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>151</th>\n",
-       "      <td>sepallength</td>\n",
-       "      <td>sepalwidth</td>\n",
-       "      <td>petallength</td>\n",
-       "      <td>petalwidth</td>\n",
-       "      <td>class</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     sepallength  sepalwidth  petallength  petalwidth           class\n",
-       "147          6.5           3          5.2           2  Iris-virginica\n",
-       "148          6.2         3.4          5.4         2.3  Iris-virginica\n",
-       "149          5.9           3          5.1         1.8  Iris-virginica\n",
-       "150            0           0            0           0            True\n",
-       "151  sepallength  sepalwidth  petallength  petalwidth           class"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "x.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "list_datasets = datasets.list_datasets(output_format=\"dataframe\")\n",
-    "list_datasets_feats = list_datasets.sort_values(by=\"NumberOfFeatures\", ascending=False)[:100]\n",
+    "list_datasets_feats = list_datasets.sort_values(by=\"NumberOfFeatures\", ascending=False)[:500]\n",
     "#list_datasets_ins = list_datasets.sort_values(by=\"NumberOfInstances\", ascending=False)[1:5]\n",
     "list_datasets = list_datasets_feats"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -147,23 +51,53 @@
       "4137\n",
       "pickle write\n",
       "load data\n",
-      "pickle load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "1594\n",
-      "pickle write\n",
       "load data\n",
       "pickle load data\n",
       "1085\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1082\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1080\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1088\n",
       "feather write\n",
       "load data\n",
@@ -177,41 +111,34 @@
       "load data\n",
       "feather load data\n",
       "1081\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1577\n",
       "pickle write\n",
       "load data\n",
       "pickle load data\n",
       "1083\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "41103\n",
       "feather write\n",
       "load data\n",
       "feather load data\n",
       "390\n",
-      "pickle write\n",
       "load data\n",
       "pickle load data\n",
       "1077\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1078\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1084\n",
-      "feather write\n",
       "load data\n",
-      "feather load data\n",
+      "pickle load data\n",
       "1079\n",
-      "feather write\n",
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+      "pickle load data\n",
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@@ -221,9 +148,8 @@
       "load data\n",
       "pickle load data\n",
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-      "feather write\n",
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-      "feather load data\n",
+      "pickle load data\n",
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@@ -237,101 +163,80 @@
       "load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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@@ -341,69 +246,56 @@
       "load data\n",
       "feather load data\n",
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-      "feather write\n",
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-      "feather load data\n",
+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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@@ -421,7 +313,6 @@
       "load data\n",
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-      "pickle write\n",
       "load data\n",
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       "1458\n",
@@ -443,7 +334,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\s164255\\documents\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21230794/Domainome.arff.\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21230794/Domainome.arff.\n",
       "  .format(url))\n"
      ]
     },
@@ -459,15 +350,12 @@
       "load data\n",
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-      "pickle write\n",
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@@ -475,31 +363,24 @@
       "load data\n",
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-      "pickle write\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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@@ -523,17 +404,14 @@
       "load data\n",
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-      "feather write\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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+      "pickle load data\n",
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@@ -557,112 +435,16374 @@
       "40926\n",
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-      "feather load data\n"
+      "feather load data\n",
+      "41081\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "42140\n"
      ]
-    }
-   ],
-   "source": [
-    "writef = []\n",
-    "readf = []\n",
-    "size = []\n",
-    "for did in most_instances:\n",
-    "    print(did)\n",
-    "    data = datasets.get_dataset(int(did))\n",
-    "    x, y, categorical, attribute_names = data.get_data()\n",
-    "    df = pd.DataFrame(x, columns=attribute_names)\n",
-    "    start = time.time()\n",
-    "    try:\n",
-    "        feather.write_feather(df, 'example_feather')\n",
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21739766/SVHN_small.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "42141\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21739767/SVHN_medium.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "40927\n",
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "394\n",
+      "pickle write\n",
+      "load data\n",
+      "pickle load data\n",
+      "41989\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21389478/GTSRB-HOG03.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "391\n",
+      "pickle write\n",
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+      "feather load data\n",
+      "1039\n",
+      "load data\n",
+      "pickle load data\n",
+      "41986\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21388953/GTSRB-HOG01.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
+      "41988\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\_api_calls.py:105: UserWarning: Received uncompressed content from OpenML for https://www.openml.org/data/v1/download/21388977/GTSRB-HOG02.arff.\n",
+      "  .format(url))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "feather write\n",
+      "load data\n",
+      "feather load data\n",
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+     ]
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+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "load data\n",
+      "pickle load data\n"
+     ]
+    }
+   ],
+   "source": [
+    "writef = []\n",
+    "readf = []\n",
+    "size = []\n",
+    "for did in most_instances:\n",
+    "    print(did)\n",
+    "    data = datasets.get_dataset(int(did))\n",
+    "    x, y, categorical, attribute_names = data.get_data()\n",
+    "    df = pd.DataFrame(x, columns=attribute_names)\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        feather.write_feather(df, 'example_feather')\n",
+    "    except:\n",
+    "        pass\n",
+    "    end = time.time()\n",
+    "    writef.append(end-start)\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        feather.read_feather('example_feather')\n",
     "    except:\n",
     "        pass\n",
     "    end = time.time()\n",
-    "    writef.append(end-start)\n",
+    "    readf.append(end-start)\n",
+    "    size.append(df.memory_usage(index=True).sum() * 1e-9)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4137\n",
+      "load data\n",
+      "pickle load data\n",
+      "1594\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1085\n",
+      "load data\n",
+      "pickle load data\n",
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+      "load data\n",
+      "pickle load data\n",
+      "1080\n",
+      "load data\n",
+      "pickle load data\n",
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+      "load data\n",
+      "feather load data\n",
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+      "feather load data\n",
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+      "load data\n",
+      "pickle load data\n",
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+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1083\n",
+      "load data\n",
+      "pickle load data\n",
+      "41103\n",
+      "load data\n",
+      "feather load data\n",
+      "390\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1077\n",
+      "load data\n",
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+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4136\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1106\n",
+      "load data\n",
+      "pickle load data\n",
+      "396\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "393\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "399\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "pickle load data\n",
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+      "load data\n",
+      "pickle load data\n",
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+      "load data\n",
+      "pickle load data\n",
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+      "load data\n",
+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
+      "385\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1458\n",
+      "load data\n",
+      "feather load data\n",
+      "1457\n",
+      "load data\n",
+      "feather load data\n",
+      "41157\n",
+      "load data\n",
+      "feather load data\n",
+      "41533\n",
+      "load data\n",
+      "feather load data\n",
+      "398\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "383\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "384\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "400\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41165\n",
+      "load data\n",
+      "feather load data\n",
+      "1434\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1104\n",
+      "load data\n",
+      "pickle load data\n",
+      "1107\n",
+      "load data\n",
+      "pickle load data\n",
+      "387\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1233\n",
+      "load data\n",
+      "pickle load data\n",
+      "388\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "397\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41026\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1562\n",
+      "load data\n",
+      "feather load data\n",
+      "41159\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
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+      "load data\n",
+      "pickle load data\n",
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+      "pickle load data\n",
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+      "load data\n",
+      "pickle load data\n",
+      "395\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1561\n",
+      "load data\n",
+      "feather load data\n",
+      "401\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "392\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "386\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "40926\n",
+      "load data\n",
+      "feather load data\n",
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+      "feather load data\n",
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+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
+      "394\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41989\n",
+      "load data\n",
+      "feather load data\n",
+      "391\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1103\n",
+      "load data\n",
+      "pickle load data\n",
+      "4138\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4139\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41163\n",
+      "load data\n",
+      "feather load data\n",
+      "389\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1432\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4134\n",
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+      "load data\n",
+      "feather load data\n",
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+      "feather load data\n",
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+      "feather load data\n",
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+      "feather load data\n",
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+      "feather load data\n",
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+      "load data\n",
+      "feather load data\n",
+      "3498\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3497\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3504\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3496\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3499\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3495\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3500\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3501\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3502\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3503\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3494\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3509\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3507\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3505\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3506\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3519\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3510\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3518\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3517\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3508\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3516\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3515\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3514\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3513\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3512\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3493\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3511\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3244\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3492\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3491\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3419\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3420\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3421\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3422\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3423\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3424\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3425\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3426\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3427\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3428\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3429\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3430\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3431\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3432\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3433\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3434\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3435\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3436\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3437\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3438\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3439\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3418\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3417\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3416\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3404\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3395\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3396\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3397\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3398\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3399\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3400\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3401\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3402\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3403\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3405\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3415\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3406\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3407\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3408\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3409\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3410\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3411\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3412\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3413\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3414\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3440\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3441\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3442\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3479\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3469\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3470\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3471\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3472\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3474\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3475\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3476\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3477\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3478\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3480\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3467\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3481\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3482\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3483\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3485\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3486\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3487\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3488\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3489\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3490\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3468\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3466\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3443\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3454\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3444\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3445\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3447\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3448\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3449\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3450\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3451\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3452\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3453\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3455\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3465\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3456\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3457\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3458\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3459\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3460\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3461\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3462\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3463\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3464\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3484\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3556\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3520\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3616\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3618\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3619\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3620\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3621\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3622\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3623\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3624\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3625\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3626\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3627\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3628\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3629\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3630\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3631\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3632\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3617\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3615\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3634\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3614\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3599\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3600\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3601\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3602\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3603\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3604\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3605\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3606\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3607\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3608\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3609\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3610\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3611\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3612\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3613\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3633\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3635\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3597\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3654\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3656\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3657\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3658\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3659\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3660\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3661\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3662\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3353\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3664\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3665\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3666\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3667\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3668\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3669\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3670\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3655\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3653\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3636\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3652\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3637\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3638\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3639\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3640\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3641\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3642\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3643\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3644\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3645\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3646\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3647\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3648\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3649\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3650\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3651\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3598\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3596\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3521\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3539\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3541\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3542\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3543\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3544\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3545\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3546\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3547\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3548\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3549\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3550\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3551\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3552\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3553\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3554\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3555\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3540\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3538\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3558\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3537\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3522\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3523\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3524\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3525\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3526\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3527\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3528\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3529\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3530\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3531\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3532\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3533\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3534\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3535\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3536\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3393\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3559\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3595\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3578\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3580\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3581\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3582\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3583\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3584\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3585\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3586\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3587\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3588\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3589\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3590\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3591\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3592\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3593\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3594\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3579\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3577\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3560\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3576\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3561\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3562\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3563\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3564\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3565\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3566\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3567\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3568\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3569\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3570\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3571\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3572\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3573\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3574\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3575\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3394\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3355\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3392\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3233\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3241\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3240\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3239\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3238\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3237\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3236\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3235\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3234\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3232\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3243\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3231\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3230\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3229\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3228\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3227\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3226\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3225\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3224\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3242\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3354\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3265\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3255\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3263\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3262\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3261\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3260\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3259\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3258\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3257\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3256\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3254\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3245\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3253\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3252\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3251\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3250\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3249\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3248\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3247\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3246\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3223\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3222\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3221\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3190\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3198\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3197\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3196\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3195\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3194\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3193\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3192\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3191\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3189\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3220\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3188\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3187\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3186\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3185\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3184\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3183\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3182\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3181\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3199\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3200\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3201\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3202\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3219\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3218\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3217\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3216\n",
+      "load data\n",
+      "pickle load data\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
+      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  sparse_index=BlockIndex(N, blocs, blens),\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
+      "Use a Series with sparse values instead.\n",
+      "\n",
+      "    >>> series = pd.Series(pd.SparseArray(...))\n",
+      "\n",
+      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
+      "\n",
+      "  if column not in sdict\n"
+     ]
+    }
+   ],
+   "source": [
+    "writep = []\n",
+    "readp = []\n",
+    "for did in most_instances:\n",
+    "    print(did)\n",
+    "    data = datasets.get_dataset(int(did))\n",
+    "    x, y, categorical, attribute_names = data.get_data()\n",
+    "    df = pd.DataFrame(x, columns=attribute_names)\n",
+    "    start = time.time()\n",
+    "    df.to_pickle(\"example_pickle.pkl\") \n",
+    "    end = time.time()\n",
+    "    writep.append(end-start)\n",
     "    start = time.time()\n",
-    "    try:\n",
-    "        feather.read_feather('example_feather')\n",
-    "    except:\n",
-    "        pass\n",
+    "    pd.read_pickle(\"example_pickle.pkl\")\n",
     "    end = time.time()\n",
-    "    readf.append(end-start)\n",
-    "    size.append(df.memory_usage(index=True).sum() * 1e-9)\n"
+    "    readp.append(end-start)\n",
+    "    \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "1085\n",
-      "1082\n",
-      "1080\n",
-      "1088\n",
-      "5648\n",
-      "5587\n",
-      "5889\n",
-      "40753\n"
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  after removing the cwd from sys.path.\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"\n",
+      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>did</th>\n",
+       "      <th>name</th>\n",
+       "      <th>NumberOfFeatures</th>\n",
+       "      <th>NumberOfInstances</th>\n",
+       "      <th>featherwrite</th>\n",
+       "      <th>featherread</th>\n",
+       "      <th>picklewrite</th>\n",
+       "      <th>pickleread</th>\n",
+       "      <th>memoryusage(GB)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4137</th>\n",
+       "      <td>4137</td>\n",
+       "      <td>Dorothea</td>\n",
+       "      <td>100001.0</td>\n",
+       "      <td>1150.0</td>\n",
+       "      <td>9.358307</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.119105</td>\n",
+       "      <td>20.122900</td>\n",
+       "      <td>0.012360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1594</th>\n",
+       "      <td>1594</td>\n",
+       "      <td>news20</td>\n",
+       "      <td>62062.0</td>\n",
+       "      <td>19928.0</td>\n",
+       "      <td>5.594421</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.646128</td>\n",
+       "      <td>13.224880</td>\n",
+       "      <td>0.018786</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1085</th>\n",
+       "      <td>1085</td>\n",
+       "      <td>anthracyclineTaxaneChemotherapy</td>\n",
+       "      <td>61360.0</td>\n",
+       "      <td>159.0</td>\n",
+       "      <td>10.157905</td>\n",
+       "      <td>1.077166</td>\n",
+       "      <td>0.527552</td>\n",
+       "      <td>0.198696</td>\n",
+       "      <td>0.078049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1082</th>\n",
+       "      <td>1082</td>\n",
+       "      <td>rsctc2010_6</td>\n",
+       "      <td>59005.0</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>10.280048</td>\n",
+       "      <td>0.794739</td>\n",
+       "      <td>0.289215</td>\n",
+       "      <td>0.118081</td>\n",
+       "      <td>0.043427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1080</th>\n",
+       "      <td>1080</td>\n",
+       "      <td>rsctc2010_4</td>\n",
+       "      <td>54676.0</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>10.228626</td>\n",
+       "      <td>0.788161</td>\n",
+       "      <td>0.330797</td>\n",
+       "      <td>0.144224</td>\n",
+       "      <td>0.049426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1088</th>\n",
+       "      <td>1088</td>\n",
+       "      <td>variousCancers_final</td>\n",
+       "      <td>54676.0</td>\n",
+       "      <td>383.0</td>\n",
+       "      <td>11.579995</td>\n",
+       "      <td>0.912687</td>\n",
+       "      <td>0.918777</td>\n",
+       "      <td>0.438318</td>\n",
+       "      <td>0.167525</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1086</th>\n",
+       "      <td>1086</td>\n",
+       "      <td>ovarianTumour</td>\n",
+       "      <td>54622.0</td>\n",
+       "      <td>283.0</td>\n",
+       "      <td>13.117118</td>\n",
+       "      <td>0.953524</td>\n",
+       "      <td>0.793143</td>\n",
+       "      <td>0.288986</td>\n",
+       "      <td>0.123662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1087</th>\n",
+       "      <td>1087</td>\n",
+       "      <td>hepatitisC</td>\n",
+       "      <td>54622.0</td>\n",
+       "      <td>283.0</td>\n",
+       "      <td>11.576992</td>\n",
+       "      <td>1.043964</td>\n",
+       "      <td>0.816065</td>\n",
+       "      <td>0.322503</td>\n",
+       "      <td>0.123662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1081</th>\n",
+       "      <td>1081</td>\n",
+       "      <td>rsctc2010_5</td>\n",
+       "      <td>54614.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>10.927053</td>\n",
+       "      <td>1.093168</td>\n",
+       "      <td>0.263551</td>\n",
+       "      <td>0.130561</td>\n",
+       "      <td>0.038885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1577</th>\n",
+       "      <td>1577</td>\n",
+       "      <td>rcv1.binary</td>\n",
+       "      <td>47237.0</td>\n",
+       "      <td>697641.0</td>\n",
+       "      <td>4.042020</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.349011</td>\n",
+       "      <td>11.807600</td>\n",
+       "      <td>0.564009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1083</th>\n",
+       "      <td>1083</td>\n",
+       "      <td>mouseType</td>\n",
+       "      <td>45102.0</td>\n",
+       "      <td>214.0</td>\n",
+       "      <td>8.043539</td>\n",
+       "      <td>0.597605</td>\n",
+       "      <td>0.460317</td>\n",
+       "      <td>0.203387</td>\n",
+       "      <td>0.077213</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41103</th>\n",
+       "      <td>41103</td>\n",
+       "      <td>STL-10</td>\n",
+       "      <td>27649.0</td>\n",
+       "      <td>13000.0</td>\n",
+       "      <td>35.433950</td>\n",
+       "      <td>19.312334</td>\n",
+       "      <td>33.060623</td>\n",
+       "      <td>6.328586</td>\n",
+       "      <td>2.875406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>390</th>\n",
+       "      <td>390</td>\n",
+       "      <td>new3s.wc</td>\n",
+       "      <td>26833.0</td>\n",
+       "      <td>9558.0</td>\n",
+       "      <td>2.567838</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.114820</td>\n",
+       "      <td>6.382907</td>\n",
+       "      <td>0.022788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1077</th>\n",
+       "      <td>1077</td>\n",
+       "      <td>rsctc2010_1</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.015206</td>\n",
+       "      <td>0.196756</td>\n",
+       "      <td>0.083531</td>\n",
+       "      <td>0.052748</td>\n",
+       "      <td>0.018718</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1078</th>\n",
+       "      <td>1078</td>\n",
+       "      <td>rsctc2010_2</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.199638</td>\n",
+       "      <td>0.191459</td>\n",
+       "      <td>0.076184</td>\n",
+       "      <td>0.056614</td>\n",
+       "      <td>0.018718</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1084</th>\n",
+       "      <td>1084</td>\n",
+       "      <td>BurkittLymphoma</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>2.209066</td>\n",
+       "      <td>0.249941</td>\n",
+       "      <td>0.289112</td>\n",
+       "      <td>0.100466</td>\n",
+       "      <td>0.039218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1079</th>\n",
+       "      <td>1079</td>\n",
+       "      <td>rsctc2010_3</td>\n",
+       "      <td>22278.0</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.032667</td>\n",
+       "      <td>0.234316</td>\n",
+       "      <td>0.114343</td>\n",
+       "      <td>0.085606</td>\n",
+       "      <td>0.016931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1578</th>\n",
+       "      <td>1578</td>\n",
+       "      <td>real-sim</td>\n",
+       "      <td>20959.0</td>\n",
+       "      <td>72309.0</td>\n",
+       "      <td>1.202837</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.187824</td>\n",
+       "      <td>4.926733</td>\n",
+       "      <td>0.042284</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4136</th>\n",
+       "      <td>4136</td>\n",
+       "      <td>Dexter</td>\n",
+       "      <td>20001.0</td>\n",
+       "      <td>600.0</td>\n",
+       "      <td>1.574929</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.664943</td>\n",
+       "      <td>4.184410</td>\n",
+       "      <td>0.000626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1106</th>\n",
+       "      <td>1106</td>\n",
+       "      <td>GCM</td>\n",
+       "      <td>16064.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>1.499025</td>\n",
+       "      <td>0.171833</td>\n",
+       "      <td>0.130881</td>\n",
+       "      <td>0.073684</td>\n",
+       "      <td>0.024416</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>396</th>\n",
+       "      <td>396</td>\n",
+       "      <td>la1s.wc</td>\n",
+       "      <td>13196.0</td>\n",
+       "      <td>3204.0</td>\n",
+       "      <td>0.774332</td>\n",
+       "      <td>0.015620</td>\n",
+       "      <td>1.057160</td>\n",
+       "      <td>2.702462</td>\n",
+       "      <td>0.005028</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>393</th>\n",
+       "      <td>393</td>\n",
+       "      <td>la2s.wc</td>\n",
+       "      <td>12433.0</td>\n",
+       "      <td>3075.0</td>\n",
+       "      <td>0.526538</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.925833</td>\n",
+       "      <td>2.532233</td>\n",
+       "      <td>0.004828</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>399</th>\n",
+       "      <td>399</td>\n",
+       "      <td>ohscal.wc</td>\n",
+       "      <td>11466.0</td>\n",
+       "      <td>11162.0</td>\n",
+       "      <td>0.737738</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.107867</td>\n",
+       "      <td>2.669233</td>\n",
+       "      <td>0.007599</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1141</th>\n",
+       "      <td>1141</td>\n",
+       "      <td>AP_Endometrium_Prostate</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>0.923324</td>\n",
+       "      <td>0.090726</td>\n",
+       "      <td>0.045044</td>\n",
+       "      <td>0.038164</td>\n",
+       "      <td>0.011373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1122</th>\n",
+       "      <td>1122</td>\n",
+       "      <td>AP_Breast_Prostate</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>413.0</td>\n",
+       "      <td>1.022036</td>\n",
+       "      <td>0.093558</td>\n",
+       "      <td>0.195529</td>\n",
+       "      <td>0.095284</td>\n",
+       "      <td>0.036130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1123</th>\n",
+       "      <td>1123</td>\n",
+       "      <td>AP_Endometrium_Breast</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>1.091773</td>\n",
+       "      <td>0.111672</td>\n",
+       "      <td>0.198477</td>\n",
+       "      <td>0.105013</td>\n",
+       "      <td>0.035430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1124</th>\n",
+       "      <td>1124</td>\n",
+       "      <td>AP_Omentum_Uterus</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>201.0</td>\n",
+       "      <td>0.878242</td>\n",
+       "      <td>0.109384</td>\n",
+       "      <td>0.072191</td>\n",
+       "      <td>0.051587</td>\n",
+       "      <td>0.017584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1125</th>\n",
+       "      <td>1125</td>\n",
+       "      <td>AP_Omentum_Prostate</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>1.042458</td>\n",
+       "      <td>0.086766</td>\n",
+       "      <td>0.053558</td>\n",
+       "      <td>0.046809</td>\n",
+       "      <td>0.012772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1142</th>\n",
+       "      <td>1142</td>\n",
+       "      <td>OVA_Endometrium</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>1545.0</td>\n",
+       "      <td>1.152615</td>\n",
+       "      <td>0.176497</td>\n",
+       "      <td>1.134826</td>\n",
+       "      <td>0.345709</td>\n",
+       "      <td>0.135158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1143</th>\n",
+       "      <td>1143</td>\n",
+       "      <td>AP_Colon_Omentum</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>363.0</td>\n",
+       "      <td>1.049377</td>\n",
+       "      <td>0.156213</td>\n",
+       "      <td>0.171288</td>\n",
+       "      <td>0.076372</td>\n",
+       "      <td>0.031756</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3223</th>\n",
+       "      <td>3223</td>\n",
+       "      <td>QSAR-TID-11774</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.062522</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.145962</td>\n",
+       "      <td>0.387241</td>\n",
+       "      <td>0.000004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3222</th>\n",
+       "      <td>3222</td>\n",
+       "      <td>QSAR-TID-10839</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1891.0</td>\n",
+       "      <td>0.062495</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.068931</td>\n",
+       "      <td>0.168870</td>\n",
+       "      <td>0.000961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3221</th>\n",
+       "      <td>3221</td>\n",
+       "      <td>QSAR-TID-17120</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>731.0</td>\n",
+       "      <td>0.089807</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.077807</td>\n",
+       "      <td>0.223800</td>\n",
+       "      <td>0.000364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3190</th>\n",
+       "      <td>3190</td>\n",
+       "      <td>QSAR-TID-101548</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>0.078790</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.102581</td>\n",
+       "      <td>0.184188</td>\n",
+       "      <td>0.000028</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3198</th>\n",
+       "      <td>3198</td>\n",
+       "      <td>QSAR-TID-10074</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>377.0</td>\n",
+       "      <td>0.078108</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.071069</td>\n",
+       "      <td>0.314785</td>\n",
+       "      <td>0.000148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3197</th>\n",
+       "      <td>3197</td>\n",
+       "      <td>QSAR-TID-10918</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1238.0</td>\n",
+       "      <td>0.074803</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.068775</td>\n",
+       "      <td>0.166998</td>\n",
+       "      <td>0.000636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3196</th>\n",
+       "      <td>3196</td>\n",
+       "      <td>QSAR-TID-102</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>534.0</td>\n",
+       "      <td>0.078110</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.071907</td>\n",
+       "      <td>0.185044</td>\n",
+       "      <td>0.000211</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3195</th>\n",
+       "      <td>3195</td>\n",
+       "      <td>QSAR-TID-100857</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>0.156213</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.085546</td>\n",
+       "      <td>0.263732</td>\n",
+       "      <td>0.000111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3194</th>\n",
+       "      <td>3194</td>\n",
+       "      <td>QSAR-TID-101239</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>0.078140</td>\n",
+       "      <td>0.015591</td>\n",
+       "      <td>0.072057</td>\n",
+       "      <td>0.232713</td>\n",
+       "      <td>0.000055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3193</th>\n",
+       "      <td>3193</td>\n",
+       "      <td>QSAR-TID-10188</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>3889.0</td>\n",
+       "      <td>0.072806</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.078923</td>\n",
+       "      <td>0.170944</td>\n",
+       "      <td>0.001705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3192</th>\n",
+       "      <td>3192</td>\n",
+       "      <td>QSAR-TID-102807</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0.078134</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.092079</td>\n",
+       "      <td>0.203994</td>\n",
+       "      <td>0.000008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3191</th>\n",
+       "      <td>3191</td>\n",
+       "      <td>QSAR-TID-11403</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>0.078110</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.179424</td>\n",
+       "      <td>0.168180</td>\n",
+       "      <td>0.000007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3189</th>\n",
+       "      <td>3189</td>\n",
+       "      <td>QSAR-TID-101356</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>0.072798</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.084761</td>\n",
+       "      <td>0.233320</td>\n",
+       "      <td>0.000025</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3220</th>\n",
+       "      <td>3220</td>\n",
+       "      <td>QSAR-TID-20151</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1427.0</td>\n",
+       "      <td>0.154588</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.084375</td>\n",
+       "      <td>0.418877</td>\n",
+       "      <td>0.000519</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3188</th>\n",
+       "      <td>3188</td>\n",
+       "      <td>QSAR-TID-100483</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>0.072802</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.064271</td>\n",
+       "      <td>0.172854</td>\n",
+       "      <td>0.000008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3187</th>\n",
+       "      <td>3187</td>\n",
+       "      <td>QSAR-TID-266</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>137.0</td>\n",
+       "      <td>0.078110</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.084410</td>\n",
+       "      <td>0.188985</td>\n",
+       "      <td>0.000045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3186</th>\n",
+       "      <td>3186</td>\n",
+       "      <td>QSAR-TID-100120</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0.083315</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.118801</td>\n",
+       "      <td>0.218797</td>\n",
+       "      <td>0.000006</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3185</th>\n",
+       "      <td>3185</td>\n",
+       "      <td>QSAR-TID-11755</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1089.0</td>\n",
+       "      <td>0.076791</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.065748</td>\n",
+       "      <td>0.344936</td>\n",
+       "      <td>0.000631</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3184</th>\n",
+       "      <td>3184</td>\n",
+       "      <td>QSAR-TID-10116</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>399.0</td>\n",
+       "      <td>0.073792</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.151614</td>\n",
+       "      <td>0.306726</td>\n",
+       "      <td>0.000145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3183</th>\n",
+       "      <td>3183</td>\n",
+       "      <td>QSAR-TID-30008</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>837.0</td>\n",
+       "      <td>0.072806</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.079927</td>\n",
+       "      <td>0.174682</td>\n",
+       "      <td>0.000484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3182</th>\n",
+       "      <td>3182</td>\n",
+       "      <td>QSAR-TID-10266</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1932.0</td>\n",
+       "      <td>0.195481</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.160522</td>\n",
+       "      <td>0.198708</td>\n",
+       "      <td>0.000985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3181</th>\n",
+       "      <td>3181</td>\n",
+       "      <td>QSAR-TID-133</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>3151.0</td>\n",
+       "      <td>0.460788</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.139045</td>\n",
+       "      <td>0.196701</td>\n",
+       "      <td>0.001219</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3199</th>\n",
+       "      <td>3199</td>\n",
+       "      <td>QSAR-TID-30045</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>655.0</td>\n",
+       "      <td>0.229889</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.155643</td>\n",
+       "      <td>0.385838</td>\n",
+       "      <td>0.000392</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3200</th>\n",
+       "      <td>3200</td>\n",
+       "      <td>QSAR-TID-100843</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.195300</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.070018</td>\n",
+       "      <td>0.208179</td>\n",
+       "      <td>0.000007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3201</th>\n",
+       "      <td>3201</td>\n",
+       "      <td>QSAR-TID-11631</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>1255.0</td>\n",
+       "      <td>0.176769</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.075767</td>\n",
+       "      <td>0.178395</td>\n",
+       "      <td>0.000476</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3202</th>\n",
+       "      <td>3202</td>\n",
+       "      <td>QSAR-TID-10280</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>3134.0</td>\n",
+       "      <td>0.163376</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.071905</td>\n",
+       "      <td>0.195066</td>\n",
+       "      <td>0.001119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3219</th>\n",
+       "      <td>3219</td>\n",
+       "      <td>QSAR-TID-103456</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>0.320212</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.134012</td>\n",
+       "      <td>0.196365</td>\n",
+       "      <td>0.000051</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3218</th>\n",
+       "      <td>3218</td>\n",
+       "      <td>QSAR-TID-30021</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>0.142531</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.070854</td>\n",
+       "      <td>0.249661</td>\n",
+       "      <td>0.000062</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3217</th>\n",
+       "      <td>3217</td>\n",
+       "      <td>QSAR-TID-278</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>2256.0</td>\n",
+       "      <td>0.145134</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.082785</td>\n",
+       "      <td>0.244533</td>\n",
+       "      <td>0.000951</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3216</th>\n",
+       "      <td>3216</td>\n",
+       "      <td>QSAR-TID-11414</td>\n",
+       "      <td>1026.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0.141635</td>\n",
+       "      <td>0.000990</td>\n",
+       "      <td>0.077283</td>\n",
+       "      <td>0.184117</td>\n",
+       "      <td>0.000030</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>500 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       did                             name  NumberOfFeatures  \\\n",
+       "4137  4137                         Dorothea          100001.0   \n",
+       "1594  1594                           news20           62062.0   \n",
+       "1085  1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
+       "1082  1082                      rsctc2010_6           59005.0   \n",
+       "1080  1080                      rsctc2010_4           54676.0   \n",
+       "...    ...                              ...               ...   \n",
+       "3202  3202                   QSAR-TID-10280            1026.0   \n",
+       "3219  3219                  QSAR-TID-103456            1026.0   \n",
+       "3218  3218                   QSAR-TID-30021            1026.0   \n",
+       "3217  3217                     QSAR-TID-278            1026.0   \n",
+       "3216  3216                   QSAR-TID-11414            1026.0   \n",
+       "\n",
+       "      NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
+       "4137             1150.0      9.358307     0.000000    10.119105   20.122900   \n",
+       "1594            19928.0      5.594421     0.000000     5.646128   13.224880   \n",
+       "1085              159.0     10.157905     1.077166     0.527552    0.198696   \n",
+       "1082               92.0     10.280048     0.794739     0.289215    0.118081   \n",
+       "1080              113.0     10.228626     0.788161     0.330797    0.144224   \n",
+       "...                 ...           ...          ...          ...         ...   \n",
+       "3202             3134.0      0.163376     0.000000     0.071905    0.195066   \n",
+       "3219               73.0      0.320212     0.000000     0.134012    0.196365   \n",
+       "3218               92.0      0.142531     0.000000     0.070854    0.249661   \n",
+       "3217             2256.0      0.145134     0.000000     0.082785    0.244533   \n",
+       "3216               61.0      0.141635     0.000990     0.077283    0.184117   \n",
+       "\n",
+       "      memoryusage(GB)  \n",
+       "4137         0.012360  \n",
+       "1594         0.018786  \n",
+       "1085         0.078049  \n",
+       "1082         0.043427  \n",
+       "1080         0.049426  \n",
+       "...               ...  \n",
+       "3202         0.001119  \n",
+       "3219         0.000051  \n",
+       "3218         0.000062  \n",
+       "3217         0.000951  \n",
+       "3216         0.000030  \n",
+       "\n",
+       "[500 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "writep = []\n",
-    "readp = []\n",
-    "for did in most_instances:\n",
-    "    print(did)\n",
-    "    data = datasets.get_dataset(int(did))\n",
-    "    x, y, categorical, attribute_names = data.get_data()\n",
-    "    df = pd.DataFrame(x, columns=attribute_names)\n",
-    "    start = time.time()\n",
-    "    df.to_pickle(\"example_pickle.pkl\") \n",
-    "    end = time.time()\n",
-    "    writep.append(end-start)\n",
-    "    start = time.time()\n",
-    "    pd.read_pickle(\"example_pickle.pkl\")\n",
-    "    end = time.time()\n",
-    "    readp.append(end-start)\n",
-    "    \n"
+    "list_datasets = list_datasets[[\"did\", \"name\", \"NumberOfFeatures\", \"NumberOfInstances\"]]\n",
+    "list_datasets[\"featherwrite\"] = writef\n",
+    "list_datasets[\"featherread\"] = readf\n",
+    "list_datasets[\"picklewrite\"] = writep\n",
+    "list_datasets[\"pickleread\"] = readp\n",
+    "list_datasets[\"memoryusage(GB)\"] = size\n",
+    "list_datasets"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  \n",
-      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
-      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  after removing the cwd from sys.path.\n",
-      "C:\\Users\\s164255\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  \"\"\"\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -702,10 +16842,10 @@
        "      <td>anthracyclineTaxaneChemotherapy</td>\n",
        "      <td>61360.0</td>\n",
        "      <td>159.0</td>\n",
-       "      <td>4.878029</td>\n",
-       "      <td>0.405963</td>\n",
-       "      <td>0.211385</td>\n",
-       "      <td>0.096001</td>\n",
+       "      <td>10.157905</td>\n",
+       "      <td>1.077166</td>\n",
+       "      <td>0.527552</td>\n",
+       "      <td>0.198696</td>\n",
        "      <td>0.078049</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -714,10 +16854,10 @@
        "      <td>rsctc2010_6</td>\n",
        "      <td>59005.0</td>\n",
        "      <td>92.0</td>\n",
-       "      <td>4.553995</td>\n",
-       "      <td>0.399999</td>\n",
-       "      <td>0.120983</td>\n",
-       "      <td>0.066000</td>\n",
+       "      <td>10.280048</td>\n",
+       "      <td>0.794739</td>\n",
+       "      <td>0.289215</td>\n",
+       "      <td>0.118081</td>\n",
        "      <td>0.043427</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -726,10 +16866,10 @@
        "      <td>rsctc2010_4</td>\n",
        "      <td>54676.0</td>\n",
        "      <td>113.0</td>\n",
-       "      <td>4.399991</td>\n",
-       "      <td>0.375000</td>\n",
-       "      <td>0.196714</td>\n",
-       "      <td>0.068998</td>\n",
+       "      <td>10.228626</td>\n",
+       "      <td>0.788161</td>\n",
+       "      <td>0.330797</td>\n",
+       "      <td>0.144224</td>\n",
        "      <td>0.049426</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -738,109 +16878,751 @@
        "      <td>variousCancers_final</td>\n",
        "      <td>54676.0</td>\n",
        "      <td>383.0</td>\n",
-       "      <td>4.827994</td>\n",
-       "      <td>0.364996</td>\n",
-       "      <td>0.426826</td>\n",
-       "      <td>0.189999</td>\n",
+       "      <td>11.579995</td>\n",
+       "      <td>0.912687</td>\n",
+       "      <td>0.918777</td>\n",
+       "      <td>0.438318</td>\n",
        "      <td>0.167525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5648</th>\n",
-       "      <td>5648</td>\n",
-       "      <td>COMET_MC</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>7619400.0</td>\n",
-       "      <td>0.431887</td>\n",
-       "      <td>0.139998</td>\n",
-       "      <td>0.915410</td>\n",
-       "      <td>0.325999</td>\n",
-       "      <td>0.304776</td>\n",
+       "      <th>1086</th>\n",
+       "      <td>1086</td>\n",
+       "      <td>ovarianTumour</td>\n",
+       "      <td>54622.0</td>\n",
+       "      <td>283.0</td>\n",
+       "      <td>13.117118</td>\n",
+       "      <td>0.953524</td>\n",
+       "      <td>0.793143</td>\n",
+       "      <td>0.288986</td>\n",
+       "      <td>0.123662</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5587</th>\n",
-       "      <td>5587</td>\n",
-       "      <td>COMET_MC</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>7619400.0</td>\n",
-       "      <td>0.413011</td>\n",
-       "      <td>0.138970</td>\n",
-       "      <td>0.892200</td>\n",
-       "      <td>0.320999</td>\n",
-       "      <td>0.304776</td>\n",
+       "      <th>1087</th>\n",
+       "      <td>1087</td>\n",
+       "      <td>hepatitisC</td>\n",
+       "      <td>54622.0</td>\n",
+       "      <td>283.0</td>\n",
+       "      <td>11.576992</td>\n",
+       "      <td>1.043964</td>\n",
+       "      <td>0.816065</td>\n",
+       "      <td>0.322503</td>\n",
+       "      <td>0.123662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1081</th>\n",
+       "      <td>1081</td>\n",
+       "      <td>rsctc2010_5</td>\n",
+       "      <td>54614.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>10.927053</td>\n",
+       "      <td>1.093168</td>\n",
+       "      <td>0.263551</td>\n",
+       "      <td>0.130561</td>\n",
+       "      <td>0.038885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1083</th>\n",
+       "      <td>1083</td>\n",
+       "      <td>mouseType</td>\n",
+       "      <td>45102.0</td>\n",
+       "      <td>214.0</td>\n",
+       "      <td>8.043539</td>\n",
+       "      <td>0.597605</td>\n",
+       "      <td>0.460317</td>\n",
+       "      <td>0.203387</td>\n",
+       "      <td>0.077213</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41103</th>\n",
+       "      <td>41103</td>\n",
+       "      <td>STL-10</td>\n",
+       "      <td>27649.0</td>\n",
+       "      <td>13000.0</td>\n",
+       "      <td>35.433950</td>\n",
+       "      <td>19.312334</td>\n",
+       "      <td>33.060623</td>\n",
+       "      <td>6.328586</td>\n",
+       "      <td>2.875406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1077</th>\n",
+       "      <td>1077</td>\n",
+       "      <td>rsctc2010_1</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.015206</td>\n",
+       "      <td>0.196756</td>\n",
+       "      <td>0.083531</td>\n",
+       "      <td>0.052748</td>\n",
+       "      <td>0.018718</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1078</th>\n",
+       "      <td>1078</td>\n",
+       "      <td>rsctc2010_2</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.199638</td>\n",
+       "      <td>0.191459</td>\n",
+       "      <td>0.076184</td>\n",
+       "      <td>0.056614</td>\n",
+       "      <td>0.018718</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1084</th>\n",
+       "      <td>1084</td>\n",
+       "      <td>BurkittLymphoma</td>\n",
+       "      <td>22284.0</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>2.209066</td>\n",
+       "      <td>0.249941</td>\n",
+       "      <td>0.289112</td>\n",
+       "      <td>0.100466</td>\n",
+       "      <td>0.039218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1079</th>\n",
+       "      <td>1079</td>\n",
+       "      <td>rsctc2010_3</td>\n",
+       "      <td>22278.0</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.032667</td>\n",
+       "      <td>0.234316</td>\n",
+       "      <td>0.114343</td>\n",
+       "      <td>0.085606</td>\n",
+       "      <td>0.016931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1106</th>\n",
+       "      <td>1106</td>\n",
+       "      <td>GCM</td>\n",
+       "      <td>16064.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>1.499025</td>\n",
+       "      <td>0.171833</td>\n",
+       "      <td>0.130881</td>\n",
+       "      <td>0.073684</td>\n",
+       "      <td>0.024416</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1141</th>\n",
+       "      <td>1141</td>\n",
+       "      <td>AP_Endometrium_Prostate</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>0.923324</td>\n",
+       "      <td>0.090726</td>\n",
+       "      <td>0.045044</td>\n",
+       "      <td>0.038164</td>\n",
+       "      <td>0.011373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1123</th>\n",
+       "      <td>1123</td>\n",
+       "      <td>AP_Endometrium_Breast</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>1.091773</td>\n",
+       "      <td>0.111672</td>\n",
+       "      <td>0.198477</td>\n",
+       "      <td>0.105013</td>\n",
+       "      <td>0.035430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1124</th>\n",
+       "      <td>1124</td>\n",
+       "      <td>AP_Omentum_Uterus</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>201.0</td>\n",
+       "      <td>0.878242</td>\n",
+       "      <td>0.109384</td>\n",
+       "      <td>0.072191</td>\n",
+       "      <td>0.051587</td>\n",
+       "      <td>0.017584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1125</th>\n",
+       "      <td>1125</td>\n",
+       "      <td>AP_Omentum_Prostate</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>1.042458</td>\n",
+       "      <td>0.086766</td>\n",
+       "      <td>0.053558</td>\n",
+       "      <td>0.046809</td>\n",
+       "      <td>0.012772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1143</th>\n",
+       "      <td>1143</td>\n",
+       "      <td>AP_Colon_Omentum</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>363.0</td>\n",
+       "      <td>1.049377</td>\n",
+       "      <td>0.156213</td>\n",
+       "      <td>0.171288</td>\n",
+       "      <td>0.076372</td>\n",
+       "      <td>0.031756</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1157</th>\n",
+       "      <td>1157</td>\n",
+       "      <td>AP_Endometrium_Kidney</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>321.0</td>\n",
+       "      <td>1.045783</td>\n",
+       "      <td>0.100729</td>\n",
+       "      <td>0.129996</td>\n",
+       "      <td>0.080383</td>\n",
+       "      <td>0.028082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1156</th>\n",
+       "      <td>1156</td>\n",
+       "      <td>AP_Omentum_Ovary</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>275.0</td>\n",
+       "      <td>0.908577</td>\n",
+       "      <td>0.156184</td>\n",
+       "      <td>0.107277</td>\n",
+       "      <td>0.059685</td>\n",
+       "      <td>0.024057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1155</th>\n",
+       "      <td>1155</td>\n",
+       "      <td>AP_Prostate_Lung</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>1.032909</td>\n",
+       "      <td>0.109349</td>\n",
+       "      <td>0.065696</td>\n",
+       "      <td>0.041494</td>\n",
+       "      <td>0.017059</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1144</th>\n",
+       "      <td>1144</td>\n",
+       "      <td>AP_Prostate_Kidney</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>329.0</td>\n",
+       "      <td>1.122264</td>\n",
+       "      <td>0.140590</td>\n",
+       "      <td>0.126342</td>\n",
+       "      <td>0.073045</td>\n",
+       "      <td>0.028781</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1145</th>\n",
+       "      <td>1145</td>\n",
+       "      <td>AP_Breast_Colon</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>630.0</td>\n",
+       "      <td>1.019341</td>\n",
+       "      <td>0.187421</td>\n",
+       "      <td>0.344438</td>\n",
+       "      <td>0.140126</td>\n",
+       "      <td>0.055113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1147</th>\n",
+       "      <td>1147</td>\n",
+       "      <td>AP_Omentum_Kidney</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>337.0</td>\n",
+       "      <td>1.060190</td>\n",
+       "      <td>0.140593</td>\n",
+       "      <td>0.163750</td>\n",
+       "      <td>0.098761</td>\n",
+       "      <td>0.029481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1148</th>\n",
+       "      <td>1148</td>\n",
+       "      <td>AP_Breast_Uterus</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>468.0</td>\n",
+       "      <td>1.018416</td>\n",
+       "      <td>0.140594</td>\n",
+       "      <td>0.193064</td>\n",
+       "      <td>0.113420</td>\n",
+       "      <td>0.040941</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1154</th>\n",
+       "      <td>1154</td>\n",
+       "      <td>AP_Endometrium_Lung</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>187.0</td>\n",
+       "      <td>1.034709</td>\n",
+       "      <td>0.156210</td>\n",
+       "      <td>0.059579</td>\n",
+       "      <td>0.041839</td>\n",
+       "      <td>0.016359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1149</th>\n",
+       "      <td>1149</td>\n",
+       "      <td>AP_Ovary_Kidney</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>1.081163</td>\n",
+       "      <td>0.171834</td>\n",
+       "      <td>0.207102</td>\n",
+       "      <td>0.089755</td>\n",
+       "      <td>0.040067</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1150</th>\n",
+       "      <td>1150</td>\n",
+       "      <td>AP_Breast_Lung</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>470.0</td>\n",
+       "      <td>1.017710</td>\n",
+       "      <td>0.100717</td>\n",
+       "      <td>0.213903</td>\n",
+       "      <td>0.093866</td>\n",
+       "      <td>0.041116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1151</th>\n",
+       "      <td>1151</td>\n",
+       "      <td>AP_Endometrium_Omentum</td>\n",
+       "      <td>10937.0</td>\n",
+       "      <td>138.0</td>\n",
+       "      <td>0.934093</td>\n",
+       "      <td>0.107675</td>\n",
+       "      <td>0.113500</td>\n",
+       "      <td>0.042515</td>\n",
+       "      <td>0.012073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41157</th>\n",
+       "      <td>41157</td>\n",
+       "      <td>arcene</td>\n",
+       "      <td>10001.0</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>0.861981</td>\n",
+       "      <td>0.102687</td>\n",
+       "      <td>0.067159</td>\n",
+       "      <td>0.031115</td>\n",
+       "      <td>0.008000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5889</th>\n",
-       "      <td>5889</td>\n",
-       "      <td>COMET_MC</td>\n",
+       "      <th>1104</th>\n",
+       "      <td>1104</td>\n",
+       "      <td>leukemia</td>\n",
+       "      <td>7130.0</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>0.615872</td>\n",
+       "      <td>0.056812</td>\n",
+       "      <td>0.016384</td>\n",
+       "      <td>0.016751</td>\n",
+       "      <td>0.004107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1107</th>\n",
+       "      <td>1107</td>\n",
+       "      <td>tumors_C</td>\n",
+       "      <td>7130.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>0.661066</td>\n",
+       "      <td>0.052924</td>\n",
+       "      <td>0.019973</td>\n",
+       "      <td>0.015978</td>\n",
+       "      <td>0.003422</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1233</th>\n",
+       "      <td>1233</td>\n",
+       "      <td>eating</td>\n",
+       "      <td>6374.0</td>\n",
+       "      <td>945.0</td>\n",
+       "      <td>0.572870</td>\n",
+       "      <td>0.152590</td>\n",
+       "      <td>0.271552</td>\n",
+       "      <td>0.117579</td>\n",
+       "      <td>0.048181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41083</th>\n",
+       "      <td>41083</td>\n",
+       "      <td>Olivetti_Faces</td>\n",
+       "      <td>4097.0</td>\n",
+       "      <td>400.0</td>\n",
+       "      <td>0.674196</td>\n",
+       "      <td>0.057846</td>\n",
+       "      <td>0.139690</td>\n",
+       "      <td>0.037910</td>\n",
+       "      <td>0.013109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1101</th>\n",
+       "      <td>1101</td>\n",
+       "      <td>lymphoma_2classes</td>\n",
+       "      <td>4027.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>0.396005</td>\n",
+       "      <td>0.046866</td>\n",
+       "      <td>0.014336</td>\n",
+       "      <td>0.012303</td>\n",
+       "      <td>0.001450</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1102</th>\n",
+       "      <td>1102</td>\n",
+       "      <td>lymphoma_9classes</td>\n",
+       "      <td>4027.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>0.502859</td>\n",
+       "      <td>0.046865</td>\n",
+       "      <td>0.016097</td>\n",
+       "      <td>0.009604</td>\n",
+       "      <td>0.003092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1109</th>\n",
+       "      <td>1109</td>\n",
+       "      <td>lymphoma_11classes</td>\n",
+       "      <td>4027.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>0.652747</td>\n",
+       "      <td>0.080214</td>\n",
+       "      <td>0.014480</td>\n",
+       "      <td>0.015413</td>\n",
+       "      <td>0.003092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41081</th>\n",
+       "      <td>41081</td>\n",
+       "      <td>SVHN</td>\n",
+       "      <td>3073.0</td>\n",
+       "      <td>99289.0</td>\n",
+       "      <td>28.923383</td>\n",
+       "      <td>8.008369</td>\n",
+       "      <td>39.676428</td>\n",
+       "      <td>5.394063</td>\n",
+       "      <td>2.440226</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1103</th>\n",
+       "      <td>1103</td>\n",
+       "      <td>yeast_gene</td>\n",
+       "      <td>2884.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>0.360032</td>\n",
+       "      <td>0.052857</td>\n",
+       "      <td>0.007989</td>\n",
+       "      <td>0.007990</td>\n",
+       "      <td>0.000392</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40978</th>\n",
+       "      <td>40978</td>\n",
+       "      <td>Internet-Advertisements</td>\n",
+       "      <td>1559.0</td>\n",
+       "      <td>3279.0</td>\n",
+       "      <td>0.473773</td>\n",
+       "      <td>0.562293</td>\n",
+       "      <td>0.261103</td>\n",
+       "      <td>0.496585</td>\n",
+       "      <td>0.005330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1515</th>\n",
+       "      <td>1515</td>\n",
+       "      <td>micro-mass</td>\n",
+       "      <td>1301.0</td>\n",
+       "      <td>571.0</td>\n",
+       "      <td>0.121520</td>\n",
+       "      <td>0.020906</td>\n",
+       "      <td>0.026162</td>\n",
+       "      <td>0.019720</td>\n",
+       "      <td>0.005940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>403</th>\n",
+       "      <td>403</td>\n",
+       "      <td>heyl</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.093721</td>\n",
+       "      <td>0.023425</td>\n",
+       "      <td>0.005036</td>\n",
+       "      <td>0.003993</td>\n",
+       "      <td>0.000101</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>435</th>\n",
+       "      <td>435</td>\n",
+       "      <td>uehling</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.080783</td>\n",
+       "      <td>0.011801</td>\n",
+       "      <td>0.003047</td>\n",
+       "      <td>0.006021</td>\n",
+       "      <td>0.000082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>404</th>\n",
+       "      <td>404</td>\n",
+       "      <td>yokohoma1</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>0.086770</td>\n",
+       "      <td>0.014919</td>\n",
+       "      <td>0.004987</td>\n",
+       "      <td>0.003398</td>\n",
+       "      <td>0.000119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>407</th>\n",
+       "      <td>407</td>\n",
+       "      <td>krystek</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>0.093768</td>\n",
+       "      <td>0.015582</td>\n",
+       "      <td>0.004321</td>\n",
+       "      <td>0.004882</td>\n",
+       "      <td>0.000274</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>417</th>\n",
+       "      <td>417</td>\n",
+       "      <td>tsutumi</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>0.099977</td>\n",
+       "      <td>0.008973</td>\n",
+       "      <td>0.007526</td>\n",
+       "      <td>0.007785</td>\n",
+       "      <td>0.000119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>418</th>\n",
+       "      <td>418</td>\n",
+       "      <td>strupcz</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>0.083812</td>\n",
+       "      <td>0.011976</td>\n",
+       "      <td>0.003998</td>\n",
+       "      <td>0.007988</td>\n",
+       "      <td>0.000311</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>408</th>\n",
+       "      <td>408</td>\n",
+       "      <td>depreux</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0.234319</td>\n",
+       "      <td>0.015623</td>\n",
+       "      <td>0.005130</td>\n",
+       "      <td>0.005069</td>\n",
+       "      <td>0.000238</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>423</th>\n",
+       "      <td>423</td>\n",
+       "      <td>svensson</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>0.143215</td>\n",
+       "      <td>0.010004</td>\n",
+       "      <td>0.005019</td>\n",
+       "      <td>0.003927</td>\n",
+       "      <td>0.000119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>414</th>\n",
+       "      <td>414</td>\n",
+       "      <td>lewis</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.082779</td>\n",
+       "      <td>0.012964</td>\n",
+       "      <td>0.004390</td>\n",
+       "      <td>0.004475</td>\n",
+       "      <td>0.000064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>410</th>\n",
+       "      <td>410</td>\n",
+       "      <td>carbolenes</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>0.109349</td>\n",
+       "      <td>0.015625</td>\n",
+       "      <td>0.006042</td>\n",
+       "      <td>0.004040</td>\n",
+       "      <td>0.000338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>430</th>\n",
+       "      <td>430</td>\n",
+       "      <td>mtp2</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>274.0</td>\n",
+       "      <td>0.106375</td>\n",
+       "      <td>0.015622</td>\n",
+       "      <td>0.011389</td>\n",
+       "      <td>0.010999</td>\n",
+       "      <td>0.002506</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>432</th>\n",
+       "      <td>432</td>\n",
+       "      <td>stevenson</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.109349</td>\n",
+       "      <td>0.015621</td>\n",
+       "      <td>0.005084</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>0.000046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411</th>\n",
+       "      <td>411</td>\n",
+       "      <td>garrat2</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>0.109389</td>\n",
+       "      <td>0.015616</td>\n",
+       "      <td>0.009640</td>\n",
+       "      <td>0.003987</td>\n",
+       "      <td>0.000128</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>437</th>\n",
+       "      <td>437</td>\n",
+       "      <td>garrat</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.104646</td>\n",
+       "      <td>0.018948</td>\n",
+       "      <td>0.003809</td>\n",
+       "      <td>0.006324</td>\n",
+       "      <td>0.000092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>436</th>\n",
+       "      <td>436</td>\n",
+       "      <td>rosowky</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.082785</td>\n",
+       "      <td>0.012924</td>\n",
+       "      <td>0.002109</td>\n",
+       "      <td>0.006226</td>\n",
+       "      <td>0.000092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>413</th>\n",
+       "      <td>413</td>\n",
+       "      <td>siddiqi</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.093731</td>\n",
+       "      <td>0.015584</td>\n",
+       "      <td>0.003953</td>\n",
+       "      <td>0.002720</td>\n",
+       "      <td>0.000092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>439</th>\n",
+       "      <td>439</td>\n",
+       "      <td>chang</td>\n",
+       "      <td>1143.0</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>0.093754</td>\n",
+       "      <td>0.015626</td>\n",
+       "      <td>0.007079</td>\n",
+       "      <td>0.006504</td>\n",
+       "      <td>0.000311</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>438</th>\n",
+       "      <td>438</td>\n",
+       "      <td>doherty</td>\n",
+       "      <td>1143.0</td>\n",
        "      <td>6.0</td>\n",
-       "      <td>7619400.0</td>\n",
-       "      <td>0.414113</td>\n",
-       "      <td>0.138994</td>\n",
-       "      <td>0.909143</td>\n",
-       "      <td>0.346003</td>\n",
-       "      <td>0.304776</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40753</th>\n",
-       "      <td>40753</td>\n",
-       "      <td>delays_zurich_transport</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>5465575.0</td>\n",
-       "      <td>2.345876</td>\n",
-       "      <td>0.737994</td>\n",
-       "      <td>6.379779</td>\n",
-       "      <td>2.959994</td>\n",
-       "      <td>0.617610</td>\n",
+       "      <td>0.122270</td>\n",
+       "      <td>0.011007</td>\n",
+       "      <td>0.008917</td>\n",
+       "      <td>0.004290</td>\n",
+       "      <td>0.000055</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>78 rows × 9 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "         did                             name  NumberOfFeatures  \\\n",
-       "1085    1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
-       "1082    1082                      rsctc2010_6           59005.0   \n",
-       "1080    1080                      rsctc2010_4           54676.0   \n",
-       "1088    1088             variousCancers_final           54676.0   \n",
-       "5648    5648                         COMET_MC               6.0   \n",
-       "5587    5587                         COMET_MC               6.0   \n",
-       "5889    5889                         COMET_MC               6.0   \n",
-       "40753  40753          delays_zurich_transport              15.0   \n",
+       "       did                             name  NumberOfFeatures  \\\n",
+       "1085  1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
+       "1082  1082                      rsctc2010_6           59005.0   \n",
+       "1080  1080                      rsctc2010_4           54676.0   \n",
+       "1088  1088             variousCancers_final           54676.0   \n",
+       "1086  1086                    ovarianTumour           54622.0   \n",
+       "...    ...                              ...               ...   \n",
+       "437    437                           garrat            1143.0   \n",
+       "436    436                          rosowky            1143.0   \n",
+       "413    413                          siddiqi            1143.0   \n",
+       "439    439                            chang            1143.0   \n",
+       "438    438                          doherty            1143.0   \n",
        "\n",
-       "       NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
-       "1085               159.0      4.878029     0.405963     0.211385    0.096001   \n",
-       "1082                92.0      4.553995     0.399999     0.120983    0.066000   \n",
-       "1080               113.0      4.399991     0.375000     0.196714    0.068998   \n",
-       "1088               383.0      4.827994     0.364996     0.426826    0.189999   \n",
-       "5648           7619400.0      0.431887     0.139998     0.915410    0.325999   \n",
-       "5587           7619400.0      0.413011     0.138970     0.892200    0.320999   \n",
-       "5889           7619400.0      0.414113     0.138994     0.909143    0.346003   \n",
-       "40753          5465575.0      2.345876     0.737994     6.379779    2.959994   \n",
+       "      NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
+       "1085              159.0     10.157905     1.077166     0.527552    0.198696   \n",
+       "1082               92.0     10.280048     0.794739     0.289215    0.118081   \n",
+       "1080              113.0     10.228626     0.788161     0.330797    0.144224   \n",
+       "1088              383.0     11.579995     0.912687     0.918777    0.438318   \n",
+       "1086              283.0     13.117118     0.953524     0.793143    0.288986   \n",
+       "...                 ...           ...          ...          ...         ...   \n",
+       "437                10.0      0.104646     0.018948     0.003809    0.006324   \n",
+       "436                10.0      0.082785     0.012924     0.002109    0.006226   \n",
+       "413                10.0      0.093731     0.015584     0.003953    0.002720   \n",
+       "439                34.0      0.093754     0.015626     0.007079    0.006504   \n",
+       "438                 6.0      0.122270     0.011007     0.008917    0.004290   \n",
        "\n",
-       "       memoryusage(GB)  \n",
-       "1085          0.078049  \n",
-       "1082          0.043427  \n",
-       "1080          0.049426  \n",
-       "1088          0.167525  \n",
-       "5648          0.304776  \n",
-       "5587          0.304776  \n",
-       "5889          0.304776  \n",
-       "40753         0.617610  "
+       "      memoryusage(GB)  \n",
+       "1085         0.078049  \n",
+       "1082         0.043427  \n",
+       "1080         0.049426  \n",
+       "1088         0.167525  \n",
+       "1086         0.123662  \n",
+       "...               ...  \n",
+       "437          0.000092  \n",
+       "436          0.000092  \n",
+       "413          0.000092  \n",
+       "439          0.000311  \n",
+       "438          0.000055  \n",
+       "\n",
+       "[78 rows x 9 columns]"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "list_datasets = list_datasets[[\"did\", \"name\", \"NumberOfFeatures\", \"NumberOfInstances\"]]\n",
-    "list_datasets[\"featherwrite\"] = writef\n",
-    "list_datasets[\"featherread\"] = readf\n",
-    "list_datasets[\"picklewrite\"] = writep\n",
-    "list_datasets[\"pickleread\"] = readp\n",
-    "list_datasets[\"memoryusage(GB)\"] = size\n",
-    "list_datasets"
+    "list_datasets[list_datasets[\"featherread\"]> list_datasets[\"pickleread\"]]"
    ]
   },
   {
@@ -1027,7 +17809,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

From 5c2723759df1b93b9be8ad8b5f24944b651c9ce6 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Mon, 11 Nov 2019 18:03:30 +0100
Subject: [PATCH 06/37] add columns condition

---
 openml/datasets/dataset.py |  5 ++---
 testing_feather.py         | 16 ++++++++++++++++
 2 files changed, 18 insertions(+), 3 deletions(-)
 create mode 100644 testing_feather.py

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 5d47d3306..9b8bda1ea 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -8,8 +8,8 @@
 import os
 import pickle
 import pyarrow.feather as feather
+
 from typing import List, Optional, Union, Tuple, Iterable, Dict
-import shutil
 import arff
 import numpy as np
 import pandas as pd
@@ -435,9 +435,8 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
         # At this point either the pickle file does not exist, or it had outdated formatting.
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
-        f = 0
 
-        if type(X) != scipy.sparse.csr.csr_matrix:
+        if type(X) != scipy.sparse.csr.csr_matrix and X.shape[1] <= 1000:
             print("feather write")
             feather.write_feather(X, data_feather_file)
             with open(data_pickle_file, "wb") as fh:
diff --git a/testing_feather.py b/testing_feather.py
new file mode 100644
index 000000000..82cc0bad8
--- /dev/null
+++ b/testing_feather.py
@@ -0,0 +1,16 @@
+from openml import datasets
+import time
+import  pandas as pd
+list_datasets = datasets.list_datasets(output_format="dataframe")
+first_time = []
+ids = list_datasets
+for did in ids['did']:
+    start = time.time()
+    data = datasets.get_dataset(did)
+    data.get_data()
+    end = time.time()
+    first_time.append(end-start)
+
+pd.set_option("display.max_colwidth", -1)
+ids["first_time"] = first_time
+ids.to_pickle("list.pkl")
\ No newline at end of file

From f61d9b514cca9b6060a56fbf0b052a1d10898d83 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Thu, 14 Nov 2019 17:51:40 +0100
Subject: [PATCH 07/37] Testing

---
 df1.csv            | 2963 ++++++++++++++++++++++++++++++++++++++++++++
 df2.csv            | 2963 ++++++++++++++++++++++++++++++++++++++++++++
 list.pkl           |  Bin 0 -> 454048 bytes
 list_second.pkl    |  Bin 0 -> 454048 bytes
 testing_feather.py |   39 +-
 5 files changed, 5953 insertions(+), 12 deletions(-)
 create mode 100644 df1.csv
 create mode 100644 df2.csv
 create mode 100644 list.pkl
 create mode 100644 list_second.pkl

diff --git a/df1.csv b/df1.csv
new file mode 100644
index 000000000..ccf2654b3
--- /dev/null
+++ b/df1.csv
@@ -0,0 +1,2963 @@
+,did,name,version,uploader,status,format,MajorityClassSize,MaxNominalAttDistinctValues,MinorityClassSize,NumberOfClasses,NumberOfFeatures,NumberOfInstances,NumberOfInstancesWithMissingValues,NumberOfMissingValues,NumberOfNumericFeatures,NumberOfSymbolicFeatures,first_time,first_time_1,OUT
+2,2,anneal,1,1,active,ARFF,684,7,8,5,39,898,898,22175,6,33,0.275992155,0.061997652,FALSE
+3,3,kr-vs-kp,1,1,active,ARFF,1669,3,1527,2,37,3196,0,0,0,37,0.577017546,0.060230494,FALSE
+4,4,labor,1,1,active,ARFF,37,3,20,2,17,57,56,326,8,9,0.229769468,0.042788982,FALSE
+5,5,arrhythmia,1,1,active,ARFF,245,13,2,13,280,452,384,408,206,74,0.556983948,0.088999271,FALSE
+6,6,letter,1,1,active,ARFF,813,26,734,26,17,20000,0,0,16,1,0.666501522,0.047998428,FALSE
+7,7,audiology,1,1,active,ARFF,57,24,1,24,70,226,222,317,0,70,0.298026562,0.074006796,FALSE
+8,8,liver-disorders,1,1,active,ARFF,,,,0,6,345,0,0,6,0,0.187961102,0.038929701,FALSE
+9,9,autos,1,1,active,ARFF,67,22,3,6,26,205,46,59,15,11,0.222993135,0.045996666,FALSE
+10,10,lymph,1,1,active,ARFF,81,8,2,4,19,148,0,0,3,16,0.224993467,0.048008919,FALSE
+11,11,balance-scale,1,1,active,ARFF,288,3,49,3,5,625,0,0,4,1,0.198994875,0.03700304,FALSE
+12,12,mfeat-factors,1,1,active,ARFF,200,10,200,10,217,2000,0,0,216,1,0.916517735,0.07000041,FALSE
+13,13,breast-cancer,1,1,active,ARFF,201,11,85,2,10,286,9,9,0,10,0.216099262,0.045737982,FALSE
+14,14,mfeat-fourier,1,1,active,ARFF,200,10,200,10,77,2000,0,0,76,1,0.568304777,0.075999737,FALSE
+15,15,breast-w,1,1,active,ARFF,458,2,241,2,10,699,16,16,9,1,0.19796133,0.050970078,FALSE
+16,16,mfeat-karhunen,1,1,active,ARFF,200,10,200,10,65,2000,0,0,64,1,0.494644165,0.071006298,FALSE
+18,18,mfeat-morphological,1,1,active,ARFF,200,10,200,10,7,2000,0,0,6,1,0.271068811,0.042988539,FALSE
+20,20,mfeat-pixel,1,1,active,ARFF,200,10,200,10,241,2000,0,0,0,241,1.026359558,0.182033777,FALSE
+22,22,mfeat-zernike,1,1,active,ARFF,200,10,200,10,48,2000,0,0,47,1,0.379081011,0.055970669,FALSE
+23,23,cmc,1,1,active,ARFF,629,4,333,3,10,1473,0,0,2,8,0.227898598,0.063026667,FALSE
+24,24,mushroom,1,1,active,ARFF,4208,12,3916,2,23,8124,2480,2480,0,23,0.767728806,0.056344509,FALSE
+25,25,colic,1,1,active,ARFF,232,63,136,2,27,368,361,1927,7,20,0.240282059,0.058874846,FALSE
+26,26,nursery,1,1,active,ARFF,4320,5,2,5,9,12960,0,0,0,9,0.456167698,0.046078682,FALSE
+27,27,colic,2,1,active,ARFF,232,6,136,2,23,368,361,1927,7,16,0.248191833,0.048565388,FALSE
+28,28,optdigits,1,1,active,ARFF,572,10,554,10,65,5620,0,0,64,1,0.502389908,0.053734541,FALSE
+29,29,credit-approval,1,1,active,ARFF,383,14,307,2,16,690,37,67,6,10,0.204377174,0.041999817,FALSE
+30,30,page-blocks,1,1,active,ARFF,4913,5,28,5,11,5473,0,0,10,1,0.306312323,0.038965225,FALSE
+31,31,credit-g,1,1,active,ARFF,700,10,300,2,21,1000,0,0,7,14,0.256217003,0.044029951,FALSE
+32,32,pendigits,1,1,active,ARFF,1144,10,1055,10,17,10992,0,0,16,1,0.533252001,0.043000698,FALSE
+34,34,postoperative-patient-data,1,1,active,ARFF,64,4,2,3,9,90,3,3,0,9,0.209019899,0.037974596,FALSE
+35,35,dermatology,1,1,active,ARFF,112,6,20,6,35,366,8,8,1,34,0.239084482,0.055029869,FALSE
+36,36,segment,1,1,active,ARFF,330,7,330,7,20,2310,0,0,19,1,0.250968218,0.041995049,FALSE
+37,37,diabetes,1,1,active,ARFF,500,2,268,2,9,768,0,0,8,1,0.199996471,0.039998055,FALSE
+38,38,sick,1,1,active,ARFF,3541,5,231,2,30,3772,3772,6064,7,23,0.386120319,0.062975645,FALSE
+39,39,ecoli,1,1,active,ARFF,143,8,2,8,8,336,0,0,7,1,0.195625305,0.03999877,FALSE
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+41557,41557,sf2,3,2373,active,ARFF,,6,,,13,1066,0,0,3,10,0.214589357,0.055954456,FALSE
+41558,41558,slump,3,2373,active,ARFF,,,,,10,103,0,0,10,0,0.17630887,0.041996002,FALSE
+41559,41559,youtube,3,2373,active,ARFF,,2,,,31,404,0,0,30,1,0.228136301,0.092020273,FALSE
+41567,41567,iris,11,348,active,ARFF,,3,,,5,150,0,0,4,1,0.193632364,0.039983273,FALSE
+41568,41568,iris,12,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.190478325,0.042000294,FALSE
+41582,41582,iris,13,348,active,ARFF,,3,,,5,150,0,0,4,1,0.199957848,0.040001392,FALSE
+41583,41583,iris,14,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.19131279,0.041998386,FALSE
+41668,41668,mj,1,8456,active,ARFF,,2,,,2,8,0,0,0,1,0.196988583,0.03972888,FALSE
+41669,41669,mom,1,8456,active,ARFF,,3,,,4,140,0,0,3,1,0.179643631,0.040999651,FALSE
+41671,41671,microaggregation2,1,8569,active,ARFF,11162,5,743,5,21,20000,0,0,20,1,0.728729248,0.051997662,FALSE
+41672,41672,airlines,2,8287,active,ARFF,299119,293,240264,2,8,539383,0,0,3,5,9.488520861,0.125003338,FALSE
+41674,41674,Weather,3,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.214860201,0.043002129,FALSE
+41675,41675,Weather,4,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.170128107,0.041994333,FALSE
+41679,41679,Weather,5,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.184475422,0.040063381,FALSE
+41680,41680,Weather,6,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.170367479,0.046035051,FALSE
+41682,41682,Weather,7,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.181723833,0.039374352,FALSE
+41684,41684,Weather,8,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.200393438,0.040586948,FALSE
+41685,41685,Weather,9,8713,active,arff,9,3,5,2,5,14,0,0,2,3,0.200048923,0.036966085,FALSE
+41700,41700,CPMP-2015-regression,1,8316,active,ARFF,,4,,0,27,2108,0,0,24,2,0.375434637,0.050131798,FALSE
+41701,41701,CPMP-2015-classification,1,8316,active,ARFF,208,4,78,4,27,527,0,0,24,2,0.232551336,0.04511261,FALSE
+41702,41702,MIP-2016-regression,1,8316,active,ARFF,,5,,0,148,1090,0,0,145,2,0.464098215,0.066640615,FALSE
+41703,41703,MIP-2016-classification,1,8316,active,ARFF,84,5,1,5,148,218,0,0,145,2,0.295067549,0.056062937,FALSE
+41704,41704,ASP-POTASSCO-regression,1,8316,active,ARFF,,11,,0,143,14234,2398,200838,140,2,2.917348146,0.107598305,FALSE
+41705,41705,ASP-POTASSCO-classification,1,8316,active,ARFF,258,11,21,11,143,1294,218,18258,140,2,0.556344986,0.06371212,FALSE
+41707,41707,FOREX_usddkk-day-High,1,1,active,arff,940,2,892,2,12,1832,0,0,11,1,0.204672337,0.031004906,FALSE
+41708,41708,FOREX_eurchf-minute-Close,1,1,active,arff,194808,2,181032,2,12,375840,0,0,11,1,2.943941355,0.031076431,FALSE
+41709,41709,FOREX_audchf-hour-High,1,1,active,arff,22481,2,21344,2,12,43825,0,0,11,1,0.550057888,0.029956341,FALSE
+41710,41710,FOREX_eurhkd-minute-High,1,1,active,arff,201397,2,174443,2,12,375840,0,0,11,1,2.882104397,0.028000832,FALSE
+41711,41711,FOREX_eurusd-minute-Close,1,1,active,arff,193844,2,181996,2,12,375840,0,0,11,1,2.725591421,0.031003475,FALSE
+41712,41712,FOREX_eurcad-hour-High,1,1,active,arff,22751,2,21074,2,12,43825,0,0,11,1,0.525113106,0.027992487,FALSE
+41713,41713,FOREX_eurnzd-day-High,1,1,active,arff,955,2,877,2,12,1832,0,0,11,1,0.186349154,0.024999619,FALSE
+41714,41714,FOREX_eurpln-minute-High,1,1,active,arff,212917,2,162923,2,12,375840,0,0,11,1,2.488182306,0.027001381,FALSE
+41715,41715,FOREX_eurhuf-hour-High,1,1,active,arff,26892,2,16933,2,12,43825,0,0,11,1,0.571948767,0.024998426,FALSE
+41716,41716,FOREX_eurcad-day-Close,1,1,active,arff,950,2,884,2,12,1834,0,0,11,1,0.176000118,0.027002096,FALSE
+41717,41717,FOREX_usdjpy-minute-High,1,1,active,arff,208744,2,167096,2,12,375840,0,0,11,1,2.582501888,0.026996613,FALSE
+41718,41718,FOREX_audjpy-hour-High,1,1,active,arff,22571,2,21254,2,12,43825,0,0,11,1,0.601316929,0.029002905,FALSE
+41719,41719,FOREX_eurjpy-day-High,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.194442749,0.027999401,FALSE
+41720,41720,FOREX_eurusd-day-High,1,1,active,arff,957,2,880,2,12,1837,0,0,11,1,0.178535938,0.028035641,FALSE
+41721,41721,FOREX_audcad-day-High,1,1,active,arff,931,2,903,2,12,1834,0,0,11,1,0.195661783,0.026994228,FALSE
+41722,41722,FOREX_usdjpy-day-Close,1,1,active,arff,933,2,902,2,12,1835,0,0,11,1,0.188504934,0.03284812,FALSE
+41723,41723,FOREX_cadchf-hour-High,1,1,active,arff,22417,2,21408,2,12,43825,0,0,11,1,0.530483484,0.031047821,FALSE
+41724,41724,FOREX_chfjpy-day-Close,1,1,active,arff,921,2,911,2,12,1832,0,0,11,1,0.196619272,0.027972221,FALSE
+41725,41725,FOREX_eurcad-day-High,1,1,active,arff,933,2,901,2,12,1834,0,0,11,1,0.19114089,0.028033972,FALSE
+41726,41726,FOREX_audusd-day-High,1,1,active,arff,958,2,876,2,12,1834,0,0,11,1,0.209509134,0.026355267,FALSE
+41727,41727,FOREX_usdcad-hour-Close,1,1,active,arff,21939,2,21886,2,12,43825,0,0,11,1,0.528357267,0.030425072,FALSE
+41728,41728,FOREX_cadjpy-minute-High,1,1,active,arff,201286,2,174554,2,12,375840,0,0,11,1,2.739140987,0.028993368,FALSE
+41729,41729,FOREX_chfjpy-minute-Close,1,1,active,arff,192834,2,183006,2,12,375840,0,0,11,1,2.789504051,0.030972242,FALSE
+41730,41730,FOREX_usdchf-day-High,1,1,active,arff,919,2,916,2,12,1835,0,0,11,1,0.183204889,0.026997805,FALSE
+41731,41731,FOREX_eursek-day-High,1,1,active,arff,946,2,891,2,12,1837,0,0,11,1,0.193010807,0.027000666,FALSE
+41732,41732,FOREX_usdjpy-minute-Close,1,1,active,arff,196755,2,179085,2,12,375840,0,0,11,1,2.69469738,0.028000116,FALSE
+41733,41733,FOREX_eurhkd-day-High,1,1,active,arff,960,2,872,2,12,1832,0,0,11,1,0.176301241,0.024998903,FALSE
+41734,41734,FOREX_eurpln-hour-Close,1,1,active,arff,22174,2,21651,2,12,43825,0,0,11,1,0.568436146,0.029000759,FALSE
+41735,41735,FOREX_eurcad-minute-Close,1,1,active,arff,190902,2,184938,2,12,375840,0,0,11,1,2.780497074,0.02600193,FALSE
+41736,41736,FOREX_eurhuf-hour-Close,1,1,active,arff,26622,2,17203,2,12,43825,0,0,11,1,0.528137922,0.028998613,FALSE
+41737,41737,FOREX_audusd-day-Close,1,1,active,arff,922,2,912,2,12,1834,0,0,11,1,0.17787981,0.038002968,FALSE
+41738,41738,FOREX_chfsgd-minute-High,1,1,active,arff,200426,2,175414,2,12,375840,0,0,11,1,2.526081085,0.029002905,FALSE
+41739,41739,FOREX_eurhkd-hour-High,1,1,active,arff,23386,2,20439,2,12,43825,0,0,11,1,0.531295061,0.028893948,FALSE
+41740,41740,FOREX_audchf-day-Close,1,1,active,arff,925,2,908,2,12,1833,0,0,11,1,0.208899736,0.029529095,FALSE
+41741,41741,FOREX_eursgd-minute-High,1,1,active,arff,198468,2,177372,2,12,375840,0,0,11,1,2.649554253,0.026887655,FALSE
+41742,41742,FOREX_eurgbp-hour-High,1,1,active,arff,23024,2,20801,2,12,43825,0,0,11,1,0.548301697,0.030026197,FALSE
+41743,41743,FOREX_eurpln-minute-Close,1,1,active,arff,211424,2,164416,2,12,375840,0,0,11,1,2.539094448,0.030003071,FALSE
+41744,41744,FOREX_eurrub-day-High,1,1,active,arff,944,2,888,2,12,1832,0,0,11,1,0.224623442,0.027968645,FALSE
+41745,41745,FOREX_chfjpy-minute-High,1,1,active,arff,200138,2,175702,2,12,375840,0,0,11,1,2.698144913,0.027000666,FALSE
+41746,41746,FOREX_cadchf-day-High,1,1,active,arff,945,2,886,2,12,1831,0,0,11,1,0.216429234,0.026998997,FALSE
+41747,41747,FOREX_audnzd-minute-Close,1,1,active,arff,192862,2,182978,2,12,375840,0,0,11,1,2.620769024,0.028999805,FALSE
+41748,41748,FOREX_usddkk-minute-Close,1,1,active,arff,191331,2,184509,2,12,375840,0,0,11,1,3.02046442,0.028001308,FALSE
+41749,41749,FOREX_gbpusd-minute-High,1,1,active,arff,204880,2,170960,2,12,375840,0,0,11,1,2.743784428,0.027998924,FALSE
+41750,41750,FOREX_eurhuf-day-Close,1,1,active,arff,929,2,905,2,12,1834,0,0,11,1,0.201568127,0.02601862,FALSE
+41751,41751,FOREX_eurnok-minute-Close,1,1,active,arff,198803,2,177037,2,12,375840,0,0,11,1,2.668772697,0.02898097,FALSE
+41752,41752,FOREX_eurjpy-minute-Close,1,1,active,arff,191775,2,184065,2,12,375840,0,0,11,1,2.926694632,0.0260005,FALSE
+41753,41753,FOREX_usdcad-day-High,1,1,active,arff,921,2,912,2,12,1833,0,0,11,1,0.192641735,0.026001692,FALSE
+41754,41754,FOREX_eurjpy-day-Close,1,1,active,arff,936,2,896,2,12,1832,0,0,11,1,0.236799717,0.02799964,FALSE
+41755,41755,FOREX_cadchf-minute-Close,1,1,active,arff,195380,2,180460,2,12,375840,0,0,11,1,2.75451231,0.036002398,FALSE
+41756,41756,FOREX_audsgd-day-High,1,1,active,arff,930,2,902,2,12,1832,0,0,11,1,0.198963165,0.042182684,FALSE
+41757,41757,FOREX_usdchf-minute-Close,1,1,active,arff,197528,2,178312,2,12,375840,0,0,11,1,2.518333912,0.043987751,FALSE
+41758,41758,FOREX_eursgd-hour-Close,1,1,active,arff,22080,2,21745,2,12,43825,0,0,11,1,0.540544033,0.036818743,FALSE
+41759,41759,FOREX_eurtry-hour-High,1,1,active,arff,22856,2,20969,2,12,43825,0,0,11,1,0.561162233,0.040005207,FALSE
+41760,41760,FOREX_eurhuf-day-High,1,1,active,arff,953,2,881,2,12,1834,0,0,11,1,0.182999372,0.030644417,FALSE
+41761,41761,FOREX_eursek-minute-Close,1,1,active,arff,197356,2,178484,2,12,375840,0,0,11,1,2.580665112,0.036031961,FALSE
+41762,41762,FOREX_audsgd-hour-Close,1,1,active,arff,22091,2,21734,2,12,43825,0,0,11,1,0.551884651,0.033985615,FALSE
+41763,41763,FOREX_audcad-hour-High,1,1,active,arff,22556,2,21269,2,12,43825,0,0,11,1,0.524773836,0.031013012,FALSE
+41764,41764,FOREX_gbpusd-day-High,1,1,active,arff,937,2,897,2,12,1834,0,0,11,1,0.206101894,0.025998831,FALSE
+41765,41765,FOREX_eurtry-day-Close,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.199558735,0.028000116,FALSE
+41766,41766,FOREX_eurgbp-day-High,1,1,active,arff,938,2,897,2,12,1835,0,0,11,1,0.195044756,0.028014183,FALSE
+41767,41767,FOREX_cadjpy-hour-Close,1,1,active,arff,22035,2,21790,2,12,43825,0,0,11,1,0.569623947,0.027000427,FALSE
+41768,41768,FOREX_eurnok-hour-High,1,1,active,arff,23048,2,20777,2,12,43825,0,0,11,1,0.551521301,0.027999401,FALSE
+41769,41769,FOREX_audcad-day-Close,1,1,active,arff,935,2,899,2,12,1834,0,0,11,1,0.166114807,0.027999878,FALSE
+41770,41770,FOREX_audjpy-minute-High,1,1,active,arff,202222,2,173618,2,12,375840,0,0,11,1,2.849295378,0.026063442,FALSE
+41771,41771,FOREX_eurtry-minute-Close,1,1,active,arff,200399,2,175441,2,12,375840,0,0,11,1,2.726951599,0.027936935,FALSE
+41772,41772,FOREX_audchf-minute-High,1,1,active,arff,200975,2,174865,2,12,375840,0,0,11,1,2.732774019,0.027000666,FALSE
+41773,41773,FOREX_eurtry-hour-Close,1,1,active,arff,22193,2,21632,2,12,43825,0,0,11,1,0.603952408,0.03000164,FALSE
+41774,41774,FOREX_eurhuf-minute-High,1,1,active,arff,276139,2,99701,2,12,375840,0,0,11,1,1.863151073,0.03903532,FALSE
+41775,41775,FOREX_usdcad-minute-Close,1,1,active,arff,193327,2,182513,2,12,375840,0,0,11,1,2.624313831,0.042967796,FALSE
+41776,41776,FOREX_eurhkd-minute-Close,1,1,active,arff,191557,2,184283,2,12,375840,0,0,11,1,3.036186218,0.038038731,FALSE
+41777,41777,FOREX_eurjpy-hour-High,1,1,active,arff,22982,2,20843,2,12,43825,0,0,11,1,0.581252098,0.039051533,FALSE
+41778,41778,FOREX_eurdkk-minute-High,1,1,active,arff,244742,2,131098,2,12,375840,0,0,11,1,1.824064016,0.037075281,FALSE
+41779,41779,FOREX_eursek-hour-High,1,1,active,arff,22632,2,21193,2,12,43825,0,0,11,1,0.594516277,0.028075933,FALSE
+41780,41780,FOREX_usdchf-hour-High,1,1,active,arff,22656,2,21169,2,12,43825,0,0,11,1,0.548159599,0.029967546,FALSE
+41781,41781,FOREX_audcad-hour-Close,1,1,active,arff,21995,2,21830,2,12,43825,0,0,11,1,0.508551359,0.025998592,FALSE
+41782,41782,FOREX_usdjpy-hour-Close,1,1,active,arff,22363,2,21462,2,12,43825,0,0,11,1,0.545382977,0.029046059,FALSE
+41783,41783,FOREX_eurdkk-day-Close,1,1,active,arff,956,2,880,2,12,1836,0,0,11,1,0.188140631,0.027000189,FALSE
+41784,41784,FOREX_gbpusd-day-Close,1,1,active,arff,932,2,902,2,12,1834,0,0,11,1,0.187906265,0.026000261,FALSE
+41785,41785,FOREX_eurtry-day-High,1,1,active,arff,932,2,900,2,12,1832,0,0,11,1,0.17809844,0.026003838,FALSE
+41786,41786,FOREX_eurgbp-minute-Close,1,1,active,arff,194179,2,181661,2,12,375840,0,0,11,1,2.509299517,0.028001785,FALSE
+41787,41787,FOREX_eurpln-hour-High,1,1,active,arff,23298,2,20527,2,12,43825,0,0,11,1,0.50646162,0.028994322,FALSE
+41788,41788,FOREX_audnzd-day-High,1,1,active,arff,1003,2,829,2,12,1832,0,0,11,1,0.169843435,0.028031349,FALSE
+41789,41789,FOREX_eurnzd-minute-High,1,1,active,arff,196400,2,179440,2,12,375840,0,0,11,1,2.797767162,0.027011156,FALSE
+41790,41790,FOREX_cadjpy-day-Close,1,1,active,arff,923,2,911,2,12,1834,0,0,11,1,0.20334053,0.026035309,FALSE
+41791,41791,FOREX_eurusd-day-Close,1,1,active,arff,926,2,911,2,12,1837,0,0,11,1,0.176739693,0.025964975,FALSE
+41792,41792,FOREX_usdchf-hour-Close,1,1,active,arff,22068,2,21757,2,12,43825,0,0,11,1,0.512191296,0.026998758,FALSE
+41793,41793,FOREX_eurjpy-minute-High,1,1,active,arff,200986,2,174854,2,12,375840,0,0,11,1,2.76020503,0.027046919,FALSE
+41794,41794,FOREX_nzdusd-minute-Close,1,1,active,arff,197006,2,178834,2,12,375840,0,0,11,1,2.570556641,0.027003765,FALSE
+41795,41795,FOREX_gbpusd-minute-Close,1,1,active,arff,194132,2,181708,2,12,375840,0,0,11,1,2.945060492,0.028027296,FALSE
+41796,41796,FOREX_eurrub-minute-Close,1,1,active,arff,267817,2,108023,2,12,375840,0,0,11,1,2.283286333,0.026985645,FALSE
+41797,41797,FOREX_usdjpy-day-High,1,1,active,arff,921,2,914,2,12,1835,0,0,11,1,0.337870121,0.029032707,FALSE
+41798,41798,FOREX_usdcad-minute-High,1,1,active,arff,203805,2,172035,2,12,375840,0,0,11,1,2.869329453,0.038063049,FALSE
+41799,41799,FOREX_eurhkd-hour-Close,1,1,active,arff,22076,2,21749,2,12,43825,0,0,11,1,0.660083532,0.037117243,FALSE
+41800,41800,FOREX_cadjpy-minute-Close,1,1,active,arff,192911,2,182929,2,12,375840,0,0,11,1,2.989305973,0.041002035,FALSE
+41801,41801,FOREX_eursgd-day-High,1,1,active,arff,950,2,882,2,12,1832,0,0,11,1,0.26201129,0.039999247,FALSE
+41802,41802,FOREX_audcad-minute-High,1,1,active,arff,198576,2,177264,2,12,375840,0,0,11,1,2.803018332,0.038522005,FALSE
+41803,41803,FOREX_eurchf-day-High,1,1,active,arff,978,2,855,2,12,1833,0,0,11,1,0.172748804,0.036555529,FALSE
+41804,41804,FOREX_gbpusd-hour-Close,1,1,active,arff,22109,2,21716,2,12,43825,0,0,11,1,0.538086176,0.030524254,FALSE
+41805,41805,FOREX_eurrub-hour-High,1,1,active,arff,30833,2,12992,2,12,43825,0,0,11,1,0.501810312,0.029558897,FALSE
+41806,41806,FOREX_audjpy-hour-Close,1,1,active,arff,22213,2,21612,2,12,43825,0,0,11,1,0.605293751,0.030000448,FALSE
+41807,41807,FOREX_nzdusd-minute-High,1,1,active,arff,208036,2,167804,2,12,375840,0,0,11,1,2.645624399,0.029013395,FALSE
+41808,41808,FOREX_eurgbp-minute-High,1,1,active,arff,202133,2,173707,2,12,375840,0,0,11,1,2.69179225,0.029986143,FALSE
+41809,41809,FOREX_audusd-minute-High,1,1,active,arff,207224,2,168616,2,12,375840,0,0,11,1,2.588009834,0.029000044,FALSE
+41810,41810,FOREX_audchf-minute-Close,1,1,active,arff,193638,2,182202,2,12,375840,0,0,11,1,2.648472071,0.028999805,FALSE
+41811,41811,FOREX_cadchf-day-Close,1,1,active,arff,949,2,882,2,12,1831,0,0,11,1,0.213542223,0.027998924,FALSE
+41812,41812,FOREX_eurnok-day-Close,1,1,active,arff,921,2,916,2,12,1837,0,0,11,1,0.171027899,0.028002024,FALSE
+41813,41813,FOREX_audsgd-minute-Close,1,1,active,arff,197295,2,178545,2,12,375840,0,0,11,1,2.495996714,0.028999329,FALSE
+41814,41814,FOREX_euraud-minute-Close,1,1,active,arff,191301,2,184539,2,12,375840,0,0,11,1,2.774050236,0.029999256,FALSE
+41815,41815,FOREX_eurrub-day-Close,1,1,active,arff,918,2,914,2,12,1832,0,0,11,1,0.18889308,0.027003288,FALSE
+41816,41816,FOREX_usddkk-hour-High,1,1,active,arff,23306,2,20519,2,12,43825,0,0,11,1,0.549758434,0.029032469,FALSE
+41817,41817,FOREX_audusd-minute-Close,1,1,active,arff,195610,2,180230,2,12,375840,0,0,11,1,2.45143342,0.02696538,FALSE
+41818,41818,FOREX_euraud-day-Close,1,1,active,arff,946,2,888,2,12,1834,0,0,11,1,0.174000025,0.026999235,FALSE
+41819,41819,FOREX_eurrub-minute-High,1,1,active,arff,270976,2,104864,2,12,375840,0,0,11,1,2.194659233,0.026000261,FALSE
+41820,41820,FOREX_chfsgd-hour-High,1,1,active,arff,22965,2,20860,2,12,43825,0,0,11,1,0.504006386,0.02699995,FALSE
+41821,41821,FOREX_eurpln-day-Close,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.193253279,0.025999069,FALSE
+41822,41822,FOREX_audnzd-minute-High,1,1,active,arff,199430,2,176410,2,12,375840,0,0,11,1,2.716681242,0.027002096,FALSE
+41823,41823,FOREX_eurcad-minute-High,1,1,active,arff,197225,2,178615,2,12,375840,0,0,11,1,3.225713968,0.025998354,FALSE
+41824,41824,FOREX_eurgbp-hour-Close,1,1,active,arff,22040,2,21785,2,12,43825,0,0,11,1,0.530002356,0.027000666,FALSE
+41825,41825,FOREX_audnzd-hour-High,1,1,active,arff,22702,2,21123,2,12,43825,0,0,11,1,0.510142803,0.029999971,FALSE
+41826,41826,FOREX_eurnzd-day-Close,1,1,active,arff,955,2,877,2,12,1832,0,0,11,1,0.203218937,0.027001143,FALSE
+41827,41827,FOREX_euraud-hour-Close,1,1,active,arff,22133,2,21692,2,12,43825,0,0,11,1,0.516115665,0.027998209,FALSE
+41828,41828,FOREX_usdcad-hour-High,1,1,active,arff,22732,2,21093,2,12,43825,0,0,11,1,0.529473782,0.026036501,FALSE
+41829,41829,FOREX_nzdusd-day-Close,1,1,active,arff,939,2,889,2,12,1828,0,0,11,1,0.213453054,0.02699995,FALSE
+41830,41830,FOREX_nzdusd-day-High,1,1,active,arff,939,2,889,2,12,1828,0,0,11,1,0.208570957,0.025963783,FALSE
+41831,41831,FOREX_eurdkk-hour-Close,1,1,active,arff,23031,2,20794,2,12,43825,0,0,11,1,0.475809813,0.028000116,FALSE
+41832,41832,FOREX_nzdusd-hour-Close,1,1,active,arff,22110,2,21715,2,12,43825,0,0,11,1,0.506235838,0.027999401,FALSE
+41833,41833,FOREX_cadjpy-hour-High,1,1,active,arff,22693,2,21132,2,12,43825,0,0,11,1,0.595981836,0.028000116,FALSE
+41834,41834,FOREX_usdcad-day-Close,1,1,active,arff,960,2,873,2,12,1833,0,0,11,1,0.175340652,0.027000427,FALSE
+41835,41835,FOREX_euraud-hour-High,1,1,active,arff,22869,2,20956,2,12,43825,0,0,11,1,0.574375153,0.033002138,FALSE
+41836,41836,FOREX_cadchf-minute-High,1,1,active,arff,201076,2,174764,2,12,375840,0,0,11,1,2.731551886,0.039530277,FALSE
+41837,41837,FOREX_audjpy-minute-Close,1,1,active,arff,193109,2,182731,2,12,375840,0,0,11,1,3.128098249,0.037626505,FALSE
+41838,41838,FOREX_cadchf-hour-Close,1,1,active,arff,21919,2,21906,2,12,43825,0,0,11,1,0.562126875,0.046036243,FALSE
+41839,41839,FOREX_cadjpy-day-High,1,1,active,arff,920,2,914,2,12,1834,0,0,11,1,0.196424961,0.035975933,FALSE
+41840,41840,FOREX_eurnok-minute-High,1,1,active,arff,205831,2,170009,2,12,375840,0,0,11,1,2.698614359,0.035002232,FALSE
+41841,41841,FOREX_chfsgd-day-Close,1,1,active,arff,933,2,899,2,12,1832,0,0,11,1,0.215560675,0.029010057,FALSE
+41842,41842,FOREX_eurchf-hour-High,1,1,active,arff,22452,2,21373,2,12,43825,0,0,11,1,0.521888256,0.026986599,FALSE
+41843,41843,FOREX_audusd-hour-High,1,1,active,arff,23210,2,20615,2,12,43825,0,0,11,1,0.561825037,0.031000137,FALSE
+41844,41844,FOREX_eurgbp-day-Close,1,1,active,arff,935,2,900,2,12,1835,0,0,11,1,0.169599056,0.025999069,FALSE
+41845,41845,FOREX_eurusd-minute-High,1,1,active,arff,206541,2,169299,2,12,375840,0,0,11,1,2.848577499,0.028000593,FALSE
+41846,41846,FOREX_eursek-day-Close,1,1,active,arff,925,2,912,2,12,1837,0,0,11,1,0.199828386,0.025002718,FALSE
+41847,41847,FOREX_eurdkk-day-High,1,1,active,arff,939,2,897,2,12,1836,0,0,11,1,0.189804316,0.026997566,FALSE
+41848,41848,FOREX_chfjpy-day-High,1,1,active,arff,936,2,896,2,12,1832,0,0,11,1,0.204488516,0.025999784,FALSE
+41849,41849,FOREX_audsgd-day-Close,1,1,active,arff,923,2,909,2,12,1832,0,0,11,1,0.190372229,0.027999401,FALSE
+41850,41850,FOREX_eursek-minute-High,1,1,active,arff,205497,2,170343,2,12,375840,0,0,11,1,2.515851736,0.027000189,FALSE
+41851,41851,FOREX_usdjpy-hour-High,1,1,active,arff,23367,2,20458,2,12,43825,0,0,11,1,0.556627989,0.02799964,FALSE
+41852,41852,FOREX_eurchf-minute-High,1,1,active,arff,203153,2,172687,2,12,375840,0,0,11,1,2.514730215,0.028002977,FALSE
+41853,41853,FOREX_eurnzd-minute-Close,1,1,active,arff,191269,2,184571,2,12,375840,0,0,11,1,2.796600342,0.02899766,FALSE
+41854,41854,FOREX_audcad-minute-Close,1,1,active,arff,192180,2,183660,2,12,375840,0,0,11,1,2.698209763,0.028000832,FALSE
+41855,41855,FOREX_eurtry-minute-High,1,1,active,arff,208967,2,166873,2,12,375840,0,0,11,1,2.894654989,0.027034283,FALSE
+41856,41856,FOREX_eurdkk-hour-High,1,1,active,arff,23910,2,19915,2,12,43825,0,0,11,1,0.476733446,0.027964354,FALSE
+41857,41857,FOREX_audjpy-day-Close,1,1,active,arff,957,2,875,2,12,1832,0,0,11,1,0.205411434,0.026999235,FALSE
+41858,41858,FOREX_usdchf-day-Close,1,1,active,arff,951,2,884,2,12,1835,0,0,11,1,0.208366632,0.026000977,FALSE
+41859,41859,FOREX_eurnok-hour-Close,1,1,active,arff,22018,2,21807,2,12,43825,0,0,11,1,0.646986008,0.027000904,FALSE
+41860,41860,FOREX_eurusd-hour-Close,1,1,active,arff,22071,2,21754,2,12,43825,0,0,11,1,0.61288619,0.027999401,FALSE
+41861,41861,FOREX_euraud-minute-High,1,1,active,arff,197195,2,178645,2,12,375840,0,0,11,1,2.860364914,0.027000904,FALSE
+41862,41862,FOREX_eurrub-hour-Close,1,1,active,arff,30334,2,13491,2,12,43825,0,0,11,1,0.468986988,0.026997805,FALSE
+41863,41863,FOREX_eurnok-day-High,1,1,active,arff,950,2,887,2,12,1837,0,0,11,1,0.205461979,0.026000977,FALSE
+41864,41864,FOREX_chfsgd-day-High,1,1,active,arff,999,2,833,2,12,1832,0,0,11,1,0.195032835,0.024999857,FALSE
+41865,41865,FOREX_audsgd-hour-High,1,1,active,arff,22558,2,21267,2,12,43825,0,0,11,1,0.549454927,0.027000189,FALSE
+41866,41866,FOREX_euraud-day-High,1,1,active,arff,934,2,900,2,12,1834,0,0,11,1,0.203623056,0.026003122,FALSE
+41867,41867,FOREX_audnzd-day-Close,1,1,active,arff,950,2,882,2,12,1832,0,0,11,1,0.201714516,0.032996655,FALSE
+41868,41868,FOREX_eurpln-day-High,1,1,active,arff,969,2,863,2,12,1832,0,0,11,1,0.223993063,0.034999371,FALSE
+41869,41869,FOREX_eursgd-minute-Close,1,1,active,arff,191724,2,184116,2,12,375840,0,0,11,1,2.74350667,0.038496494,FALSE
+41870,41870,FOREX_chfjpy-hour-Close,1,1,active,arff,21996,2,21829,2,12,43825,0,0,11,1,0.541331291,0.040500641,FALSE
+41871,41871,FOREX_usddkk-hour-Close,1,1,active,arff,22050,2,21775,2,12,43825,0,0,11,1,0.630405426,0.034006119,FALSE
+41872,41872,FOREX_eurhkd-day-Close,1,1,active,arff,917,2,915,2,12,1832,0,0,11,1,0.16479516,0.026993036,FALSE
+41873,41873,FOREX_eurusd-hour-High,1,1,active,arff,23523,2,20302,2,12,43825,0,0,11,1,0.519137383,0.030999899,FALSE
+41874,41874,FOREX_eursgd-day-Close,1,1,active,arff,924,2,908,2,12,1832,0,0,11,1,0.195171833,0.025000572,FALSE
+41875,41875,FOREX_audchf-day-High,1,1,active,arff,929,2,904,2,12,1833,0,0,11,1,0.165217161,0.027999878,FALSE
+41876,41876,FOREX_eurdkk-minute-Close,1,1,active,arff,273731,2,102109,2,12,375840,0,0,11,1,1.729121447,0.026998043,FALSE
+41877,41877,FOREX_eurchf-hour-Close,1,1,active,arff,22003,2,21822,2,12,43825,0,0,11,1,0.498209953,0.027001381,FALSE
+41878,41878,FOREX_audusd-hour-Close,1,1,active,arff,22098,2,21727,2,12,43825,0,0,11,1,0.480618715,0.026999474,FALSE
+41879,41879,FOREX_gbpusd-hour-High,1,1,active,arff,23312,2,20513,2,12,43825,0,0,11,1,0.529027224,0.027009726,FALSE
+41880,41880,FOREX_chfsgd-minute-Close,1,1,active,arff,195885,2,179955,2,12,375840,0,0,11,1,2.647503376,0.026990175,FALSE
+41881,41881,FOREX_chfjpy-hour-High,1,1,active,arff,22854,2,20971,2,12,43825,0,0,11,1,0.60588479,0.027035713,FALSE
+41882,41882,FOREX_audjpy-day-High,1,1,active,arff,941,2,891,2,12,1832,0,0,11,1,0.172635078,0.027964354,FALSE
+41883,41883,FOREX_eurnzd-hour-High,1,1,active,arff,22999,2,20826,2,12,43825,0,0,11,1,0.586785555,0.027000427,FALSE
+41884,41884,FOREX_nzdusd-hour-High,1,1,active,arff,23184,2,20641,2,12,43825,0,0,11,1,0.476956606,0.028999329,FALSE
+41885,41885,FOREX_chfsgd-hour-Close,1,1,active,arff,22278,2,21547,2,12,43825,0,0,11,1,0.530720949,0.027000666,FALSE
+41886,41886,FOREX_eurnzd-hour-Close,1,1,active,arff,22350,2,21475,2,12,43825,0,0,11,1,0.504869461,0.026999235,FALSE
+41887,41887,FOREX_audsgd-minute-High,1,1,active,arff,202700,2,173140,2,12,375840,0,0,11,1,2.533756256,0.027000666,FALSE
+41888,41888,FOREX_audchf-hour-Close,1,1,active,arff,21916,2,21909,2,12,43825,0,0,11,1,0.493140697,0.027036905,FALSE
+41889,41889,FOREX_eurjpy-hour-Close,1,1,active,arff,22103,2,21722,2,12,43825,0,0,11,1,0.53335762,0.026962042,FALSE
+41890,41890,FOREX_usddkk-minute-High,1,1,active,arff,200928,2,174912,2,12,375840,0,0,11,1,2.947495699,0.025999784,FALSE
+41891,41891,FOREX_eurcad-hour-Close,1,1,active,arff,21914,2,21911,2,12,43825,0,0,11,1,0.523594379,0.026000977,FALSE
+41892,41892,FOREX_usdchf-minute-High,1,1,active,arff,207306,2,168534,2,12,375840,0,0,11,1,2.45010376,0.028000355,FALSE
+41893,41893,FOREX_eursgd-hour-High,1,1,active,arff,22665,2,21160,2,12,43825,0,0,11,1,0.559640646,0.026999712,FALSE
+41894,41894,FOREX_eurchf-day-Close,1,1,active,arff,952,2,881,2,12,1833,0,0,11,1,0.199210644,0.025999784,FALSE
+41895,41895,FOREX_eurhuf-minute-Close,1,1,active,arff,273138,2,102702,2,12,375840,0,0,11,1,1.921921015,0.03003788,FALSE
+41896,41896,FOREX_eursek-hour-Close,1,1,active,arff,22043,2,21782,2,12,43825,0,0,11,1,0.590322733,0.027961254,FALSE
+41897,41897,FOREX_usddkk-day-Close,1,1,active,arff,916,2,916,2,12,1832,0,0,11,1,0.254168272,0.028000593,FALSE
+41898,41898,FOREX_audnzd-hour-Close,1,1,active,arff,22275,2,21550,2,12,43825,0,0,11,1,0.543251514,0.02699995,FALSE
+41899,41899,MultilingualDS,1,8876,active,ARFF,,,,,3,65428,0,0,0,0,19.15556931,0.036005735,FALSE
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diff --git a/df2.csv b/df2.csv
new file mode 100644
index 000000000..f6cd38951
--- /dev/null
+++ b/df2.csv
@@ -0,0 +1,2963 @@
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+1189,1189,BNG(auto_price),1,1,active,ARFF,,7.0,,0.0,16.0,1000000.0,0.0,0.0,15.0,1.0,0.29383015632629395
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+3058,3058,QSAR-TID-10444,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.25496840476989746
+3059,3059,QSAR-TID-101557,1,62,active,Sparse_ARFF,,,,0.0,1026.0,732.0,0.0,0.0,1025.0,1.0,0.3790411949157715
+3060,3060,QSAR-TID-11556,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.2699894905090332
+3061,3061,QSAR-TID-17081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,440.0,0.0,0.0,1025.0,1.0,0.331007719039917
+3062,3062,QSAR-TID-10781,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2044.0,0.0,0.0,1025.0,1.0,0.3729984760284424
+3063,3063,QSAR-TID-226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1431.0,0.0,0.0,1025.0,1.0,0.3889942169189453
+3064,3064,QSAR-TID-11156,1,62,active,Sparse_ARFF,,,,0.0,1026.0,838.0,0.0,0.0,1025.0,1.0,0.3529989719390869
+3065,3065,QSAR-TID-102421,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.32599925994873047
+3066,3066,QSAR-TID-12959,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.3489995002746582
+3067,3067,QSAR-TID-101386,1,62,active,Sparse_ARFF,,,,0.0,1026.0,148.0,0.0,0.0,1025.0,1.0,0.334000825881958
+3068,3068,QSAR-TID-11024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2329.0,0.0,0.0,1025.0,1.0,0.3789994716644287
+3069,3069,QSAR-TID-10475,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1030.0,0.0,0.0,1025.0,1.0,0.3839993476867676
+3070,3070,QSAR-TID-65,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1515.0,0.0,0.0,1025.0,1.0,0.35899972915649414
+3071,3071,QSAR-TID-100975,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.3320047855377197
+3072,3072,QSAR-TID-100671,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.27599453926086426
+3073,3073,QSAR-TID-191,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4442.0,0.0,0.0,1025.0,1.0,0.4076366424560547
+3074,3074,QSAR-TID-100835,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.33500027656555176
+3075,3075,QSAR-TID-10378,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1330.0,0.0,0.0,1025.0,1.0,0.38500523567199707
+3076,3076,QSAR-TID-12507,1,62,active,Sparse_ARFF,,,,0.0,1026.0,314.0,0.0,0.0,1025.0,1.0,0.3159935474395752
+3077,3077,QSAR-TID-11453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.26700425148010254
+3078,3078,QSAR-TID-100621,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.22399520874023438
+3079,3079,QSAR-TID-10849,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1580.0,0.0,0.0,1025.0,1.0,0.390002965927124
+3080,3080,QSAR-TID-101508,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.3540010452270508
+3081,3081,QSAR-TID-234,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2145.0,0.0,0.0,1025.0,1.0,0.37400007247924805
+3082,3082,QSAR-TID-11694,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.305999755859375
+3083,3083,QSAR-TID-103169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24099397659301758
+3084,3084,QSAR-TID-103561,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.2600057125091553
+3085,3085,QSAR-TID-10250,1,62,active,Sparse_ARFF,,,,0.0,1026.0,124.0,0.0,0.0,1025.0,1.0,0.3609938621520996
+3086,3086,QSAR-TID-30007,1,62,active,Sparse_ARFF,,,,0.0,1026.0,534.0,0.0,0.0,1025.0,1.0,0.350006103515625
+3087,3087,QSAR-TID-101124,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.22699356079101562
+3088,3088,QSAR-TID-11451,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2442.0,0.0,0.0,1025.0,1.0,0.3760049343109131
+3089,3089,QSAR-TID-10051,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1007.0,0.0,0.0,1025.0,1.0,0.37999510765075684
+3090,3090,QSAR-TID-10981,1,62,active,Sparse_ARFF,,,,0.0,1026.0,262.0,0.0,0.0,1025.0,1.0,0.3169991970062256
+3091,3091,QSAR-TID-10478,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.32899999618530273
+3092,3092,QSAR-TID-10009,1,62,active,Sparse_ARFF,,,,0.0,1026.0,714.0,0.0,0.0,1025.0,1.0,0.3809995651245117
+3093,3093,QSAR-TID-10659,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3299994468688965
+3094,3094,QSAR-TID-101097,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.2669997215270996
+3095,3095,QSAR-TID-101105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2500002384185791
+3096,3096,QSAR-TID-52,1,62,active,Sparse_ARFF,,,,0.0,1026.0,877.0,0.0,0.0,1025.0,1.0,0.35899996757507324
+3097,3097,QSAR-TID-20174,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1201.0,0.0,0.0,1025.0,1.0,0.3599989414215088
+3098,3098,QSAR-TID-100908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.3620002269744873
+3099,3099,QSAR-TID-100479,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.23799943923950195
+3100,3100,QSAR-TID-10530,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.25100016593933105
+3101,3101,QSAR-TID-30049,1,62,active,Sparse_ARFF,,,,0.0,1026.0,733.0,0.0,0.0,1025.0,1.0,0.3590047359466553
+3102,3102,QSAR-TID-101505,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.26199913024902344
+3103,3103,QSAR-TID-250,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2446.0,0.0,0.0,1025.0,1.0,0.3789956569671631
+3104,3104,QSAR-TID-10075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,161.0,0.0,0.0,1025.0,1.0,0.26999878883361816
+3105,3105,QSAR-TID-11300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1616.0,0.0,0.0,1025.0,1.0,0.391002893447876
+3106,3106,QSAR-TID-19904,1,62,active,Sparse_ARFF,,,,0.0,1026.0,584.0,0.0,0.0,1025.0,1.0,0.3510017395019531
+3107,3107,QSAR-TID-12078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.2520413398742676
+3108,3108,QSAR-TID-10506,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.21800565719604492
+3109,3109,QSAR-TID-10227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.25099897384643555
+3110,3110,QSAR-TID-10766,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.2780008316040039
+3111,3111,QSAR-TID-102406,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.26099324226379395
+3112,3112,QSAR-TID-12407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.31197118759155273
+3113,3113,QSAR-TID-100080,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1157.0,0.0,0.0,1025.0,1.0,0.3660292625427246
+3114,3114,QSAR-TID-11866,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.23599934577941895
+3115,3115,QSAR-TID-11242,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1107.0,0.0,0.0,1025.0,1.0,0.37196874618530273
+3116,3116,QSAR-TID-30000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.32903075218200684
+3117,3117,QSAR-TID-11017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.354968786239624
+3118,3118,QSAR-TID-17084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1863.0,0.0,0.0,1025.0,1.0,0.36371302604675293
+3119,3119,QSAR-TID-227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1238.0,0.0,0.0,1025.0,1.0,0.3769984245300293
+3120,3120,QSAR-TID-102465,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.36597180366516113
+3121,3121,QSAR-TID-11036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,396.0,0.0,0.0,1025.0,1.0,0.35599827766418457
+3122,3122,QSAR-TID-12014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.30190110206604004
+3123,3123,QSAR-TID-30044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3621664047241211
+3124,3124,QSAR-TID-30010,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.33499860763549805
+3125,3125,QSAR-TID-20014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2625.0,0.0,0.0,1025.0,1.0,0.5009686946868896
+3126,3126,QSAR-TID-100416,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.41100072860717773
+3127,3127,QSAR-TID-12689,1,62,active,Sparse_ARFF,,,,0.0,1026.0,575.0,0.0,0.0,1025.0,1.0,0.4460020065307617
+3128,3128,QSAR-TID-12863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2910315990447998
+3129,3129,QSAR-TID-280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3438.0,0.0,0.0,1025.0,1.0,0.475966215133667
+3130,3130,QSAR-TID-11043,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.31603288650512695
+3131,3131,QSAR-TID-23,1,62,active,Sparse_ARFF,,,,0.0,1026.0,198.0,0.0,0.0,1025.0,1.0,0.3359944820404053
+3132,3132,QSAR-TID-11473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1529.0,0.0,0.0,1025.0,1.0,0.3863544464111328
+3133,3133,QSAR-TID-11004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,214.0,0.0,0.0,1025.0,1.0,0.3000342845916748
+3134,3134,QSAR-TID-10842,1,62,active,Sparse_ARFF,,,,0.0,1026.0,782.0,0.0,0.0,1025.0,1.0,0.3519926071166992
+3135,3135,QSAR-TID-101359,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.3520047664642334
+3136,3136,QSAR-TID-12847,1,62,active,Sparse_ARFF,,,,0.0,1026.0,215.0,0.0,0.0,1025.0,1.0,0.3269975185394287
+3137,3137,QSAR-TID-100286,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.23299670219421387
+3138,3138,QSAR-TID-30032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,107.0,0.0,0.0,1025.0,1.0,0.3659696578979492
+3139,3139,QSAR-TID-20113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,728.0,0.0,0.0,1025.0,1.0,0.4719984531402588
+3140,3140,QSAR-TID-100063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.4455220699310303
+3141,3141,QSAR-TID-12725,1,62,active,Sparse_ARFF,,,,0.0,1026.0,141.0,0.0,0.0,1025.0,1.0,0.3709990978240967
+3142,3142,QSAR-TID-12252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2998.0,0.0,0.0,1025.0,1.0,0.38703060150146484
+3143,3143,QSAR-TID-20139,1,62,active,Sparse_ARFF,,,,0.0,1026.0,108.0,0.0,0.0,1025.0,1.0,0.32700395584106445
+3144,3144,QSAR-TID-100836,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3809638023376465
+3145,3145,QSAR-TID-12067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,406.0,0.0,0.0,1025.0,1.0,0.44803428649902344
+3146,3146,QSAR-TID-10496,1,62,active,Sparse_ARFF,,,,0.0,1026.0,40.0,0.0,0.0,1025.0,1.0,0.2669689655303955
+3147,3147,QSAR-TID-100027,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.2599966526031494
+3148,3148,QSAR-TID-11559,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.3610036373138428
+3149,3149,QSAR-TID-13005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,124.0,0.0,0.0,1025.0,1.0,0.35202574729919434
+3150,3150,QSAR-TID-101231,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35899949073791504
+3151,3151,QSAR-TID-30024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.4269685745239258
+3152,3152,QSAR-TID-11908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.38100266456604004
+3153,3153,QSAR-TID-197,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1243.0,0.0,0.0,1025.0,1.0,0.3829987049102783
+3154,3154,QSAR-TID-101448,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.34102845191955566
+3155,3155,QSAR-TID-11044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,63.0,0.0,0.0,1025.0,1.0,0.38734889030456543
+3156,3156,QSAR-TID-100107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.28302669525146484
+3157,3157,QSAR-TID-101110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,186.0,0.0,0.0,1025.0,1.0,0.33156251907348633
+3158,3158,QSAR-TID-20104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.31603169441223145
+3159,3159,QSAR-TID-20020,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.3489992618560791
+3160,3160,QSAR-TID-103111,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.25696802139282227
+3161,3161,QSAR-TID-10929,1,62,active,Sparse_ARFF,,,,0.0,1026.0,154.0,0.0,0.0,1025.0,1.0,0.4049994945526123
+3162,3162,QSAR-TID-11785,1,62,active,Sparse_ARFF,,,,0.0,1026.0,413.0,0.0,0.0,1025.0,1.0,0.36300039291381836
+3163,3163,QSAR-TID-20158,1,62,active,Sparse_ARFF,,,,0.0,1026.0,257.0,0.0,0.0,1025.0,1.0,0.3339998722076416
+3164,3164,QSAR-TID-136,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4085.0,0.0,0.0,1025.0,1.0,0.46038341522216797
+3165,3165,QSAR-TID-129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4089.0,0.0,0.0,1025.0,1.0,0.4084787368774414
+3166,3166,QSAR-TID-279,1,62,active,Sparse_ARFF,,,,0.0,1026.0,126.0,0.0,0.0,1025.0,1.0,0.30387449264526367
+3167,3167,QSAR-TID-100848,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.26900482177734375
+3168,3168,QSAR-TID-100869,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.26199960708618164
+3169,3169,QSAR-TID-10541,1,62,active,Sparse_ARFF,,,,0.0,1026.0,151.0,0.0,0.0,1025.0,1.0,0.3380005359649658
+3170,3170,QSAR-TID-17075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.2509617805480957
+3171,3171,QSAR-TID-101309,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.34799957275390625
+3172,3172,QSAR-TID-12950,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.24499988555908203
+3173,3173,QSAR-TID-101584,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3510012626647949
+3174,3174,QSAR-TID-100163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24700379371643066
+3175,3175,QSAR-TID-103900,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.34699416160583496
+3176,3176,QSAR-TID-100871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.26847362518310547
+3177,3177,QSAR-TID-103063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.34760093688964844
+3178,3178,QSAR-TID-11140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3429.0,0.0,0.0,1025.0,1.0,0.5446302890777588
+3179,3179,QSAR-TID-100430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,126.0,0.0,0.0,1025.0,1.0,0.35002708435058594
+3180,3180,QSAR-TID-12162,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.316972017288208
+3181,3181,QSAR-TID-133,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3151.0,0.0,0.0,1025.0,1.0,0.4250040054321289
+3182,3182,QSAR-TID-10266,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1932.0,0.0,0.0,1025.0,1.0,0.4130227565765381
+3183,3183,QSAR-TID-30008,1,62,active,Sparse_ARFF,,,,0.0,1026.0,837.0,0.0,0.0,1025.0,1.0,0.3588898181915283
+3184,3184,QSAR-TID-10116,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.42200446128845215
+3185,3185,QSAR-TID-11755,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1089.0,0.0,0.0,1025.0,1.0,0.41699957847595215
+3186,3186,QSAR-TID-100120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.23696637153625488
+3187,3187,QSAR-TID-266,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.3060328960418701
+3188,3188,QSAR-TID-100483,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.33500003814697266
+3189,3189,QSAR-TID-101356,1,62,active,Sparse_ARFF,,,,0.0,1026.0,58.0,0.0,0.0,1025.0,1.0,0.2709674835205078
+3190,3190,QSAR-TID-101548,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.30303144454956055
+3191,3191,QSAR-TID-11403,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.2545647621154785
+3192,3192,QSAR-TID-102807,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.25477075576782227
+3193,3193,QSAR-TID-10188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3889.0,0.0,0.0,1025.0,1.0,0.45999956130981445
+3194,3194,QSAR-TID-101239,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.33263611793518066
+3195,3195,QSAR-TID-100857,1,62,active,Sparse_ARFF,,,,0.0,1026.0,319.0,0.0,0.0,1025.0,1.0,0.41896820068359375
+3196,3196,QSAR-TID-102,1,62,active,Sparse_ARFF,,,,0.0,1026.0,534.0,0.0,0.0,1025.0,1.0,0.3510310649871826
+3197,3197,QSAR-TID-10918,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1238.0,0.0,0.0,1025.0,1.0,0.3599684238433838
+3198,3198,QSAR-TID-10074,1,62,active,Sparse_ARFF,,,,0.0,1026.0,377.0,0.0,0.0,1025.0,1.0,0.41752004623413086
+3199,3199,QSAR-TID-30045,1,62,active,Sparse_ARFF,,,,0.0,1026.0,655.0,0.0,0.0,1025.0,1.0,0.37796831130981445
+3200,3200,QSAR-TID-100843,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.225999116897583
+3201,3201,QSAR-TID-11631,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1255.0,0.0,0.0,1025.0,1.0,0.35700011253356934
+3202,3202,QSAR-TID-10280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3134.0,0.0,0.0,1025.0,1.0,0.4830315113067627
+3203,3203,QSAR-TID-11574,1,62,active,Sparse_ARFF,,,,0.0,1026.0,230.0,0.0,0.0,1025.0,1.0,0.3169996738433838
+3204,3204,QSAR-TID-14071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.23196721076965332
+3205,3205,QSAR-TID-11969,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1246.0,0.0,0.0,1025.0,1.0,0.3770003318786621
+3206,3206,QSAR-TID-101055,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.32403087615966797
+3207,3207,QSAR-TID-12894,1,62,active,Sparse_ARFF,,,,0.0,1026.0,483.0,0.0,0.0,1025.0,1.0,0.36997079849243164
+3208,3208,QSAR-TID-12238,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2729969024658203
+3209,3209,QSAR-TID-100426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,123.0,0.0,0.0,1025.0,1.0,0.2890317440032959
+3210,3210,QSAR-TID-275,1,62,active,Sparse_ARFF,,,,0.0,1026.0,477.0,0.0,0.0,1025.0,1.0,0.3379688262939453
+3211,3211,QSAR-TID-20157,1,62,active,Sparse_ARFF,,,,0.0,1026.0,63.0,0.0,0.0,1025.0,1.0,0.2779991626739502
+3212,3212,QSAR-TID-12000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,366.0,0.0,0.0,1025.0,1.0,0.36099958419799805
+3213,3213,QSAR-TID-101464,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1044.0,0.0,0.0,1025.0,1.0,0.36699962615966797
+3214,3214,QSAR-TID-100590,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.22701406478881836
+3215,3215,QSAR-TID-235,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1560.0,0.0,0.0,1025.0,1.0,0.3809850215911865
+3216,3216,QSAR-TID-11414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.2870001792907715
+3217,3217,QSAR-TID-278,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2256.0,0.0,0.0,1025.0,1.0,0.37399983406066895
+3218,3218,QSAR-TID-30021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,92.0,0.0,0.0,1025.0,1.0,0.37200236320495605
+3219,3219,QSAR-TID-103456,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3229966163635254
+3220,3220,QSAR-TID-20151,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1427.0,0.0,0.0,1025.0,1.0,0.3549995422363281
+3221,3221,QSAR-TID-17120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,731.0,0.0,0.0,1025.0,1.0,0.37999939918518066
+3222,3222,QSAR-TID-10839,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1891.0,0.0,0.0,1025.0,1.0,0.37603187561035156
+3223,3223,QSAR-TID-11774,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2239680290222168
+3224,3224,QSAR-TID-12840,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1608.0,0.0,0.0,1025.0,1.0,0.3580319881439209
+3225,3225,QSAR-TID-20025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.34596872329711914
+3226,3226,QSAR-TID-103452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3210296630859375
+3227,3227,QSAR-TID-100867,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.26396822929382324
+3228,3228,QSAR-TID-12391,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.24699997901916504
+3229,3229,QSAR-TID-12265,1,62,active,Sparse_ARFF,,,,0.0,1026.0,636.0,0.0,0.0,1025.0,1.0,0.3379995822906494
+3230,3230,QSAR-TID-10930,1,62,active,Sparse_ARFF,,,,0.0,1026.0,560.0,0.0,0.0,1025.0,1.0,0.3450314998626709
+3231,3231,QSAR-TID-10979,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1671.0,0.0,0.0,1025.0,1.0,0.3827648162841797
+3232,3232,QSAR-TID-102988,1,62,active,Sparse_ARFF,,,,0.0,1026.0,88.0,0.0,0.0,1025.0,1.0,0.2579679489135742
+3233,3233,QSAR-TID-30038,1,62,active,Sparse_ARFF,,,,0.0,1026.0,106.0,0.0,0.0,1025.0,1.0,0.3430311679840088
+3234,3234,QSAR-TID-10653,1,62,active,Sparse_ARFF,,,,0.0,1026.0,645.0,0.0,0.0,1025.0,1.0,0.34396791458129883
+3235,3235,QSAR-TID-101360,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.34200000762939453
+3236,3236,QSAR-TID-12506,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.2329998016357422
+3237,3237,QSAR-TID-12752,1,62,active,Sparse_ARFF,,,,0.0,1026.0,49.0,0.0,0.0,1025.0,1.0,0.22899985313415527
+3238,3238,QSAR-TID-11711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.234999418258667
+3239,3239,QSAR-TID-11902,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.35199975967407227
+3240,3240,QSAR-TID-10871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2560000419616699
+3241,3241,QSAR-TID-101538,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.31999921798706055
+3242,3242,QSAR-TID-11558,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2669260501861572
+3243,3243,QSAR-TID-193,1,62,active,Sparse_ARFF,,,,0.0,1026.0,199.0,0.0,0.0,1025.0,1.0,0.32900547981262207
+3244,3244,QSAR-TID-103101,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.23099517822265625
+3245,3245,QSAR-TID-10701,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.3040041923522949
+3246,3246,QSAR-TID-19623,1,62,active,Sparse_ARFF,,,,0.0,1026.0,656.0,0.0,0.0,1025.0,1.0,0.3959951400756836
+3247,3247,QSAR-TID-12366,1,62,active,Sparse_ARFF,,,,0.0,1026.0,162.0,0.0,0.0,1025.0,1.0,0.3030052185058594
+3248,3248,QSAR-TID-104499,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.22399425506591797
+3249,3249,QSAR-TID-11265,1,62,active,Sparse_ARFF,,,,0.0,1026.0,740.0,0.0,0.0,1025.0,1.0,0.36696767807006836
+3250,3250,QSAR-TID-19642,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.22803139686584473
+3251,3251,QSAR-TID-12967,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2756.0,0.0,0.0,1025.0,1.0,0.38500523567199707
+3252,3252,QSAR-TID-100858,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.29096269607543945
+3253,3253,QSAR-TID-11104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.30700135231018066
+3254,3254,QSAR-TID-101496,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35099148750305176
+3255,3255,QSAR-TID-12786,1,62,active,Sparse_ARFF,,,,0.0,1026.0,624.0,0.0,0.0,1025.0,1.0,0.40799856185913086
+3256,3256,QSAR-TID-12688,1,62,active,Sparse_ARFF,,,,0.0,1026.0,213.0,0.0,0.0,1025.0,1.0,0.40000152587890625
+3257,3257,QSAR-TID-236,1,62,active,Sparse_ARFF,,,,0.0,1026.0,411.0,0.0,0.0,1025.0,1.0,0.3859984874725342
+3258,3258,QSAR-TID-10628,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.3375716209411621
+3259,3259,QSAR-TID-219,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1584.0,0.0,0.0,1025.0,1.0,0.4209706783294678
+3260,3260,QSAR-TID-100860,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.3270292282104492
+3261,3261,QSAR-TID-101533,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.24299192428588867
+3262,3262,QSAR-TID-12261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1842.0,0.0,0.0,1025.0,1.0,0.4769735336303711
+3263,3263,QSAR-TID-100817,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.250995397567749
+3264,3264,QSAR-TID-10019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.25903749465942383
+3265,3265,QSAR-TID-10906,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1004.0,0.0,0.0,1025.0,1.0,0.37099313735961914
+3266,3266,QSAR-TID-11169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.2909688949584961
+3267,3267,QSAR-TID-17061,1,62,active,Sparse_ARFF,,,,0.0,1026.0,152.0,0.0,0.0,1025.0,1.0,0.3220357894897461
+3268,3268,QSAR-TID-10461,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.24297165870666504
+3269,3269,QSAR-TID-11142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.30202603340148926
+3270,3270,QSAR-TID-100624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,127.0,0.0,0.0,1025.0,1.0,0.30696678161621094
+3271,3271,QSAR-TID-12169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.28986334800720215
+3272,3272,QSAR-TID-100865,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.3415415287017822
+3273,3273,QSAR-TID-102401,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.27503037452697754
+3274,3274,QSAR-TID-12867,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.24300050735473633
+3275,3275,QSAR-TID-12944,1,62,active,Sparse_ARFF,,,,0.0,1026.0,887.0,0.0,0.0,1025.0,1.0,0.3690013885498047
+3276,3276,QSAR-TID-101582,1,62,active,Sparse_ARFF,,,,0.0,1026.0,36.0,0.0,0.0,1025.0,1.0,0.27817463874816895
+3277,3277,QSAR-TID-10980,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5766.0,0.0,0.0,1025.0,1.0,0.47757458686828613
+3278,3278,QSAR-TID-61,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2076.0,0.0,0.0,1025.0,1.0,0.44715380668640137
+3279,3279,QSAR-TID-100044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1541.0,0.0,0.0,1025.0,1.0,0.519045352935791
+3280,3280,QSAR-TID-100956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.35381555557250977
+3281,3281,QSAR-TID-12895,1,62,active,Sparse_ARFF,,,,0.0,1026.0,547.0,0.0,0.0,1025.0,1.0,0.4279963970184326
+3282,3282,QSAR-TID-11758,1,62,active,Sparse_ARFF,,,,0.0,1026.0,213.0,0.0,0.0,1025.0,1.0,0.32703566551208496
+3283,3283,QSAR-TID-101348,1,62,active,Sparse_ARFF,,,,0.0,1026.0,819.0,0.0,0.0,1025.0,1.0,0.39362573623657227
+3284,3284,QSAR-TID-18013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.2850072383880615
+3285,3285,QSAR-TID-12485,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.2940845489501953
+3286,3286,QSAR-TID-12687,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1648.0,0.0,0.0,1025.0,1.0,0.3870048522949219
+3287,3287,QSAR-TID-11811,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.26596784591674805
+3288,3288,QSAR-TID-30015,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.34003138542175293
+3289,3289,QSAR-TID-101299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.24899959564208984
+3290,3290,QSAR-TID-20126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,182.0,0.0,0.0,1025.0,1.0,0.32898736000061035
+3291,3291,QSAR-TID-12887,1,62,active,Sparse_ARFF,,,,0.0,1026.0,117.0,0.0,0.0,1025.0,1.0,0.31700706481933594
+3292,3292,QSAR-TID-19689,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.2860066890716553
+3293,3293,QSAR-TID-12569,1,62,active,Sparse_ARFF,,,,0.0,1026.0,891.0,0.0,0.0,1025.0,1.0,0.38199281692504883
+3294,3294,QSAR-TID-11524,1,62,active,Sparse_ARFF,,,,0.0,1026.0,605.0,0.0,0.0,1025.0,1.0,0.3520054817199707
+3295,3295,QSAR-TID-12933,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2469940185546875
+3296,3296,QSAR-TID-11869,1,62,active,Sparse_ARFF,,,,0.0,1026.0,705.0,0.0,0.0,1025.0,1.0,0.3729989528656006
+3297,3297,QSAR-TID-20122,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.259000301361084
+3298,3298,QSAR-TID-12163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,285.0,0.0,0.0,1025.0,1.0,0.3450050354003906
+3299,3299,QSAR-TID-12641,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2589998245239258
+3300,3300,QSAR-TID-12587,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.3369936943054199
+3301,3301,QSAR-TID-10909,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.3200056552886963
+3302,3302,QSAR-TID-17073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,391.0,0.0,0.0,1025.0,1.0,0.33899927139282227
+3303,3303,QSAR-TID-103451,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2719993591308594
+3304,3304,QSAR-TID-30022,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3269948959350586
+3305,3305,QSAR-TID-134,1,62,active,Sparse_ARFF,,,,0.0,1026.0,878.0,0.0,0.0,1025.0,1.0,0.3509995937347412
+3306,3306,QSAR-TID-100854,1,62,active,Sparse_ARFF,,,,0.0,1026.0,625.0,0.0,0.0,1025.0,1.0,0.38499951362609863
+3307,3307,QSAR-TID-10498,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1748.0,0.0,0.0,1025.0,1.0,0.3730032444000244
+3308,3308,QSAR-TID-10938,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1862.0,0.0,0.0,1025.0,1.0,0.3999819755554199
+3309,3309,QSAR-TID-10850,1,62,active,Sparse_ARFF,,,,0.0,1026.0,622.0,0.0,0.0,1025.0,1.0,0.4399886131286621
+3311,3311,QSAR-TID-100127,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.3490314483642578
+3312,3312,QSAR-TID-10901,1,62,active,Sparse_ARFF,,,,0.0,1026.0,541.0,0.0,0.0,1025.0,1.0,0.4360010623931885
+3313,3313,QSAR-TID-102389,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.346998929977417
+3314,3314,QSAR-TID-12591,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.26599788665771484
+3315,3315,QSAR-TID-90,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2055.0,0.0,0.0,1025.0,1.0,0.41596293449401855
+3316,3316,QSAR-TID-12476,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1023.0,0.0,0.0,1025.0,1.0,0.37603139877319336
+3317,3317,QSAR-TID-100976,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4569072723388672
+3318,3318,QSAR-TID-72,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5354.0,0.0,0.0,1025.0,1.0,0.5176534652709961
+3319,3319,QSAR-TID-20109,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.36593055725097656
+3320,3320,QSAR-TID-186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2639949321746826
+3321,3321,QSAR-TID-101411,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.392362117767334
+3322,3322,QSAR-TID-101338,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.33600425720214844
+3323,3323,QSAR-TID-30035,1,62,active,Sparse_ARFF,,,,0.0,1026.0,678.0,0.0,0.0,1025.0,1.0,0.3809950351715088
+3324,3324,QSAR-TID-100969,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3379983901977539
+3325,3325,QSAR-TID-102913,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.22500014305114746
+3326,3326,QSAR-TID-11055,1,62,active,Sparse_ARFF,,,,0.0,1026.0,46.0,0.0,0.0,1025.0,1.0,0.2700002193450928
+3327,3327,QSAR-TID-101021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3009767532348633
+3328,3328,QSAR-TID-12474,1,62,active,Sparse_ARFF,,,,0.0,1026.0,360.0,0.0,0.0,1025.0,1.0,0.34996747970581055
+3329,3329,QSAR-TID-104138,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.25902771949768066
+3330,3330,QSAR-TID-100851,1,62,active,Sparse_ARFF,,,,0.0,1026.0,526.0,0.0,0.0,1025.0,1.0,0.37500572204589844
+3331,3331,QSAR-TID-12755,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.23499369621276855
+3332,3332,QSAR-TID-17145,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.22300004959106445
+3333,3333,QSAR-TID-10623,1,62,active,Sparse_ARFF,,,,0.0,1026.0,248.0,0.0,0.0,1025.0,1.0,0.3240010738372803
+3334,3334,QSAR-TID-127,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1524.0,0.0,0.0,1025.0,1.0,0.380997896194458
+3335,3335,QSAR-TID-11624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,742.0,0.0,0.0,1025.0,1.0,0.357968807220459
+3336,3336,QSAR-TID-12998,1,62,active,Sparse_ARFF,,,,0.0,1026.0,98.0,0.0,0.0,1025.0,1.0,0.28200531005859375
+3337,3337,QSAR-TID-47,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1953.0,0.0,0.0,1025.0,1.0,0.3939952850341797
+3338,3338,QSAR-TID-10782,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.3330349922180176
+3339,3339,QSAR-TID-100864,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.25199413299560547
+3340,3340,QSAR-TID-13068,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.25800013542175293
+3341,3341,QSAR-TID-30048,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.32700014114379883
+3342,3342,QSAR-TID-11691,1,62,active,Sparse_ARFF,,,,0.0,1026.0,715.0,0.0,0.0,1025.0,1.0,0.3760082721710205
+3343,3343,QSAR-TID-14037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4378.0,0.0,0.0,1025.0,1.0,0.4689633846282959
+3344,3344,QSAR-TID-30017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1058.0,0.0,0.0,1025.0,1.0,0.4460155963897705
+3345,3345,QSAR-TID-17076,1,62,active,Sparse_ARFF,,,,0.0,1026.0,51.0,0.0,0.0,1025.0,1.0,0.2520318031311035
+3346,3346,QSAR-TID-10244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,396.0,0.0,0.0,1025.0,1.0,0.37400388717651367
+3347,3347,QSAR-TID-260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.2739706039428711
+3348,3348,QSAR-TID-10373,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.32999563217163086
+3349,3349,QSAR-TID-246,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1135.0,0.0,0.0,1025.0,1.0,0.47099733352661133
+3350,3350,QSAR-TID-168,1,62,active,Sparse_ARFF,,,,0.0,1026.0,412.0,0.0,0.0,1025.0,1.0,0.39299845695495605
+3351,3351,QSAR-TID-101552,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.4049999713897705
+3352,3352,QSAR-TID-12673,1,62,active,Sparse_ARFF,,,,0.0,1026.0,183.0,0.0,0.0,1025.0,1.0,0.38403987884521484
+3353,3353,QSAR-TID-12666,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2243.0,0.0,0.0,1025.0,1.0,0.4649958610534668
+3354,3354,QSAR-TID-247,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.45897722244262695
+3355,3355,QSAR-TID-10143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3689868450164795
+3356,3356,QSAR-TID-103910,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.38500142097473145
+3357,3357,QSAR-TID-12345,1,62,active,Sparse_ARFF,,,,0.0,1026.0,42.0,0.0,0.0,1025.0,1.0,0.4870009422302246
+3358,3358,QSAR-TID-146,1,62,active,Sparse_ARFF,,,,0.0,1026.0,683.0,0.0,0.0,1025.0,1.0,0.5489964485168457
+3359,3359,QSAR-TID-10982,1,62,active,Sparse_ARFF,,,,0.0,1026.0,600.0,0.0,0.0,1025.0,1.0,0.4946293830871582
+3360,3360,QSAR-TID-10544,1,62,active,Sparse_ARFF,,,,0.0,1026.0,203.0,0.0,0.0,1025.0,1.0,0.422299861907959
+3361,3361,QSAR-TID-103071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,150.0,0.0,0.0,1025.0,1.0,0.39096760749816895
+3362,3362,QSAR-TID-101252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.3719959259033203
+3363,3363,QSAR-TID-19905,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3048.0,0.0,0.0,1025.0,1.0,0.48096680641174316
+3364,3364,QSAR-TID-10880,1,62,active,Sparse_ARFF,,,,0.0,1026.0,955.0,0.0,0.0,1025.0,1.0,0.4194185733795166
+3365,3365,QSAR-TID-10167,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.2952001094818115
+3366,3366,QSAR-TID-10190,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.29735279083251953
+3367,3367,QSAR-TID-12132,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.2958674430847168
+3368,3368,QSAR-TID-252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4081.0,0.0,0.0,1025.0,1.0,0.4389939308166504
+3370,3370,QSAR-TID-20036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.2700064182281494
+3372,3372,QSAR-TID-10502,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1627.0,0.0,0.0,1025.0,1.0,0.4729626178741455
+3373,3373,QSAR-TID-100155,1,62,active,Sparse_ARFF,,,,0.0,1026.0,138.0,0.0,0.0,1025.0,1.0,0.3105475902557373
+3374,3374,QSAR-TID-11299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.35000109672546387
+3375,3375,QSAR-TID-11085,1,62,active,Sparse_ARFF,,,,0.0,1026.0,712.0,0.0,0.0,1025.0,1.0,0.3640003204345703
+3376,3376,QSAR-TID-12186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.27603864669799805
+3377,3377,QSAR-TID-101585,1,62,active,Sparse_ARFF,,,,0.0,1026.0,58.0,0.0,0.0,1025.0,1.0,0.3049814701080322
+3378,3378,QSAR-TID-11084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,842.0,0.0,0.0,1025.0,1.0,0.40497827529907227
+3379,3379,QSAR-TID-101503,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3880000114440918
+3380,3380,QSAR-TID-101598,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.41474008560180664
+3381,3381,QSAR-TID-17021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,276.0,0.0,0.0,1025.0,1.0,0.3790009021759033
+3382,3382,QSAR-TID-101045,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35910487174987793
+3383,3383,QSAR-TID-12718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,134.0,0.0,0.0,1025.0,1.0,0.40100622177124023
+3385,3385,QSAR-TID-12029,1,62,active,Sparse_ARFF,,,,0.0,1026.0,28.0,0.0,0.0,1025.0,1.0,0.2854928970336914
+3386,3386,QSAR-TID-104385,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.24699664115905762
+3387,3387,QSAR-TID-11058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.33700060844421387
+3388,3388,QSAR-TID-10501,1,62,active,Sparse_ARFF,,,,0.0,1026.0,147.0,0.0,0.0,1025.0,1.0,0.3769676685333252
+3389,3389,QSAR-TID-12788,1,62,active,Sparse_ARFF,,,,0.0,1026.0,50.0,0.0,0.0,1025.0,1.0,0.3110339641571045
+3390,3390,QSAR-TID-100427,1,62,active,Sparse_ARFF,,,,0.0,1026.0,77.0,0.0,0.0,1025.0,1.0,0.32596588134765625
+3391,3391,QSAR-TID-100992,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.36299920082092285
+3392,3392,QSAR-TID-100918,1,62,active,Sparse_ARFF,,,,0.0,1026.0,88.0,0.0,0.0,1025.0,1.0,0.41300106048583984
+3393,3393,QSAR-TID-11105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,631.0,0.0,0.0,1025.0,1.0,0.47800254821777344
+3394,3394,QSAR-TID-20154,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1024.0,0.0,0.0,1025.0,1.0,0.41199564933776855
+3395,3395,QSAR-TID-13024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.27601051330566406
+3396,3396,QSAR-TID-11269,1,62,active,Sparse_ARFF,,,,0.0,1026.0,614.0,0.0,0.0,1025.0,1.0,0.403989315032959
+3397,3397,QSAR-TID-12703,1,62,active,Sparse_ARFF,,,,0.0,1026.0,226.0,0.0,0.0,1025.0,1.0,0.3880183696746826
+3398,3398,QSAR-TID-10058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,273.0,0.0,0.0,1025.0,1.0,0.36698412895202637
+3399,3399,QSAR-TID-20032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,123.0,0.0,0.0,1025.0,1.0,0.3390047550201416
+3400,3400,QSAR-TID-11863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.3636915683746338
+3401,3401,QSAR-TID-10494,1,62,active,Sparse_ARFF,,,,0.0,1026.0,233.0,0.0,0.0,1025.0,1.0,0.40100741386413574
+3402,3402,QSAR-TID-11081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,843.0,0.0,0.0,1025.0,1.0,0.44399261474609375
+3403,3403,QSAR-TID-240,1,62,active,Sparse_ARFF,,,,0.0,1026.0,272.0,0.0,0.0,1025.0,1.0,0.42200374603271484
+3404,3404,QSAR-TID-10497,1,62,active,Sparse_ARFF,,,,0.0,1026.0,50.0,0.0,0.0,1025.0,1.0,0.3159959316253662
+3405,3405,QSAR-TID-101053,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.6099979877471924
+3406,3406,QSAR-TID-11870,1,62,active,Sparse_ARFF,,,,0.0,1026.0,129.0,0.0,0.0,1025.0,1.0,0.41100072860717773
+3407,3407,QSAR-TID-11977,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.29999780654907227
+3408,3408,QSAR-TID-12336,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.25800132751464844
+3409,3409,QSAR-TID-17134,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.3249983787536621
+3410,3410,QSAR-TID-101152,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.31799960136413574
+3411,3411,QSAR-TID-100859,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.2849996089935303
+3412,3412,QSAR-TID-11364,1,62,active,Sparse_ARFF,,,,0.0,1026.0,969.0,0.0,0.0,1025.0,1.0,0.4160308837890625
+3413,3413,QSAR-TID-10056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,690.0,0.0,0.0,1025.0,1.0,0.476970911026001
+3414,3414,QSAR-TID-10209,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.5909996032714844
+3415,3415,QSAR-TID-101300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,475.0,0.0,0.0,1025.0,1.0,0.8919978141784668
+3416,3416,QSAR-TID-10648,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.4009983539581299
+3417,3417,QSAR-TID-100436,1,62,active,Sparse_ARFF,,,,0.0,1026.0,163.0,0.0,0.0,1025.0,1.0,0.7660021781921387
+3418,3418,QSAR-TID-11249,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.33899855613708496
+3419,3419,QSAR-TID-10368,1,62,active,Sparse_ARFF,,,,0.0,1026.0,882.0,0.0,0.0,1025.0,1.0,0.9330015182495117
+3420,3420,QSAR-TID-100069,1,62,active,Sparse_ARFF,,,,0.0,1026.0,471.0,0.0,0.0,1025.0,1.0,0.714996337890625
+3421,3421,QSAR-TID-11722,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.4250164031982422
+3422,3422,QSAR-TID-12593,1,62,active,Sparse_ARFF,,,,0.0,1026.0,26.0,0.0,0.0,1025.0,1.0,0.47498273849487305
+3423,3423,QSAR-TID-101407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,276.0,0.0,0.0,1025.0,1.0,0.47200441360473633
+3424,3424,QSAR-TID-10728,1,62,active,Sparse_ARFF,,,,0.0,1026.0,172.0,0.0,0.0,1025.0,1.0,0.4919929504394531
+3425,3425,QSAR-TID-10273,1,62,active,Sparse_ARFF,,,,0.0,1026.0,449.0,0.0,0.0,1025.0,1.0,0.5420026779174805
+3426,3426,QSAR-TID-10856,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.376997709274292
+3427,3427,QSAR-TID-10576,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4103.0,0.0,0.0,1025.0,1.0,0.48300600051879883
+3428,3428,QSAR-TID-12128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,407.0,0.0,0.0,1025.0,1.0,0.3700294494628906
+3429,3429,QSAR-TID-11441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.3189685344696045
+3430,3430,QSAR-TID-10262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,639.0,0.0,0.0,1025.0,1.0,0.4599947929382324
+3431,3431,QSAR-TID-103441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3770003318786621
+3432,3432,QSAR-TID-11402,1,62,active,Sparse_ARFF,,,,0.0,1026.0,413.0,0.0,0.0,1025.0,1.0,0.3350358009338379
+3433,3433,QSAR-TID-12824,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1261.0,0.0,0.0,1025.0,1.0,0.4389827251434326
+3434,3434,QSAR-TID-11692,1,62,active,Sparse_ARFF,,,,0.0,1026.0,98.0,0.0,0.0,1025.0,1.0,0.2989804744720459
+3435,3435,QSAR-TID-103163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.28403759002685547
+3436,3436,QSAR-TID-101392,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2829933166503906
+3437,3437,QSAR-TID-102981,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.28997254371643066
+3438,3438,QSAR-TID-12853,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3569967746734619
+3439,3439,QSAR-TID-100912,1,62,active,Sparse_ARFF,,,,0.0,1026.0,948.0,0.0,0.0,1025.0,1.0,0.40599775314331055
+3440,3440,QSAR-TID-101269,1,62,active,Sparse_ARFF,,,,0.0,1026.0,675.0,0.0,0.0,1025.0,1.0,0.46699976921081543
+3441,3441,QSAR-TID-11427,1,62,active,Sparse_ARFF,,,,0.0,1026.0,167.0,0.0,0.0,1025.0,1.0,0.35752439498901367
+3442,3442,QSAR-TID-100433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2840299606323242
+3443,3443,QSAR-TID-11989,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.2779970169067383
+3444,3444,QSAR-TID-10970,1,62,active,Sparse_ARFF,,,,0.0,1026.0,763.0,0.0,0.0,1025.0,1.0,0.42293429374694824
+3445,3445,QSAR-TID-12829,1,62,active,Sparse_ARFF,,,,0.0,1026.0,543.0,0.0,0.0,1025.0,1.0,0.42403650283813477
+3447,3447,QSAR-TID-101221,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3809950351715088
+3448,3448,QSAR-TID-12619,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.30998706817626953
+3449,3449,QSAR-TID-10329,1,62,active,Sparse_ARFF,,,,0.0,1026.0,669.0,0.0,0.0,1025.0,1.0,0.5027151107788086
+3450,3450,QSAR-TID-176,1,62,active,Sparse_ARFF,,,,0.0,1026.0,906.0,0.0,0.0,1025.0,1.0,0.3946197032928467
+3451,3451,QSAR-TID-100244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2939727306365967
+3452,3452,QSAR-TID-10184,1,62,active,Sparse_ARFF,,,,0.0,1026.0,941.0,0.0,0.0,1025.0,1.0,0.43787503242492676
+3453,3453,QSAR-TID-10657,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.5605487823486328
+3454,3454,QSAR-TID-12744,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.5706648826599121
+3455,3455,QSAR-TID-100413,1,62,active,Sparse_ARFF,,,,0.0,1026.0,998.0,0.0,0.0,1025.0,1.0,0.47022223472595215
+3456,3456,QSAR-TID-270,1,62,active,Sparse_ARFF,,,,0.0,1026.0,289.0,0.0,0.0,1025.0,1.0,0.41404175758361816
+3457,3457,QSAR-TID-11399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,518.0,0.0,0.0,1025.0,1.0,0.430300235748291
+3458,3458,QSAR-TID-30020,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.4268484115600586
+3459,3459,QSAR-TID-42,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1302.0,0.0,0.0,1025.0,1.0,0.5349781513214111
+3460,3460,QSAR-TID-101041,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5768311023712158
+3461,3461,QSAR-TID-10814,1,62,active,Sparse_ARFF,,,,0.0,1026.0,103.0,0.0,0.0,1025.0,1.0,0.34700441360473633
+3462,3462,QSAR-TID-175,1,62,active,Sparse_ARFF,,,,0.0,1026.0,251.0,0.0,0.0,1025.0,1.0,0.5229806900024414
+3463,3463,QSAR-TID-104260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,71.0,0.0,0.0,1025.0,1.0,0.460568904876709
+3464,3464,QSAR-TID-101460,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5886669158935547
+3465,3465,QSAR-TID-11018,1,62,active,Sparse_ARFF,,,,0.0,1026.0,579.0,0.0,0.0,1025.0,1.0,0.5749902725219727
+3466,3466,QSAR-TID-10688,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.4829983711242676
+3467,3467,QSAR-TID-10485,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.35199737548828125
+3468,3468,QSAR-TID-12738,1,62,active,Sparse_ARFF,,,,0.0,1026.0,596.0,0.0,0.0,1025.0,1.0,0.5760326385498047
+3469,3469,QSAR-TID-102770,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.5309610366821289
+3470,3470,QSAR-TID-102414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,523.0,0.0,0.0,1025.0,1.0,0.4320042133331299
+3471,3471,QSAR-TID-101079,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.37702369689941406
+3472,3472,QSAR-TID-11154,1,62,active,Sparse_ARFF,,,,0.0,1026.0,688.0,0.0,0.0,1025.0,1.0,0.44700098037719727
+3474,3474,QSAR-TID-10450,1,62,active,Sparse_ARFF,,,,0.0,1026.0,214.0,0.0,0.0,1025.0,1.0,0.45000243186950684
+3475,3475,QSAR-TID-137,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3689.0,0.0,0.0,1025.0,1.0,0.48302674293518066
+3476,3476,QSAR-TID-118,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1362.0,0.0,0.0,1025.0,1.0,0.402968168258667
+3477,3477,QSAR-TID-101602,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.47600269317626953
+3478,3478,QSAR-TID-101324,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.409029483795166
+3479,3479,QSAR-TID-100424,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.3529682159423828
+3480,3480,QSAR-TID-11868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,519.0,0.0,0.0,1025.0,1.0,0.5879981517791748
+3481,3481,QSAR-TID-12787,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2890002727508545
+3482,3482,QSAR-TID-12090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1312.0,0.0,0.0,1025.0,1.0,0.43500232696533203
+3483,3483,QSAR-TID-20023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.3199961185455322
+3484,3484,QSAR-TID-12131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.3039994239807129
+3485,3485,QSAR-TID-11199,1,62,active,Sparse_ARFF,,,,0.0,1026.0,104.0,0.0,0.0,1025.0,1.0,0.3410031795501709
+3486,3486,QSAR-TID-11942,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1002.0,0.0,0.0,1025.0,1.0,0.3502793312072754
+3487,3487,QSAR-TID-100962,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.2949831485748291
+3488,3488,QSAR-TID-12227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1510.0,0.0,0.0,1025.0,1.0,0.42801451683044434
+3489,3489,QSAR-TID-12735,1,62,active,Sparse_ARFF,,,,0.0,1026.0,646.0,0.0,0.0,1025.0,1.0,0.4169957637786865
+3490,3490,QSAR-TID-20033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,273.0,0.0,0.0,1025.0,1.0,0.3319718837738037
+3491,3491,QSAR-TID-11528,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.3249967098236084
+3492,3492,QSAR-TID-100834,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.42104005813598633
+3493,3493,QSAR-TID-101361,1,62,active,Sparse_ARFF,,,,0.0,1026.0,323.0,0.0,0.0,1025.0,1.0,0.4547288417816162
+3494,3494,QSAR-TID-11831,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.35986971855163574
+3495,3495,QSAR-TID-100432,1,62,active,Sparse_ARFF,,,,0.0,1026.0,293.0,0.0,0.0,1025.0,1.0,0.5285584926605225
+3496,3496,QSAR-TID-102774,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.35298752784729004
+3497,3497,QSAR-TID-115,1,62,active,Sparse_ARFF,,,,0.0,1026.0,974.0,0.0,0.0,1025.0,1.0,0.3989243507385254
+3498,3498,QSAR-TID-10616,1,62,active,Sparse_ARFF,,,,0.0,1026.0,249.0,0.0,0.0,1025.0,1.0,0.41199445724487305
+3499,3499,QSAR-TID-101397,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.266035795211792
+3500,3500,QSAR-TID-10452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,482.0,0.0,0.0,1025.0,1.0,0.3956880569458008
+3501,3501,QSAR-TID-100418,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.395479679107666
+3502,3502,QSAR-TID-100993,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4378025531768799
+3503,3503,QSAR-TID-20171,1,62,active,Sparse_ARFF,,,,0.0,1026.0,128.0,0.0,0.0,1025.0,1.0,0.40003442764282227
+3504,3504,QSAR-TID-10526,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1814.0,0.0,0.0,1025.0,1.0,0.4488639831542969
+3505,3505,QSAR-TID-249,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1487.0,0.0,0.0,1025.0,1.0,0.3638181686401367
+3506,3506,QSAR-TID-101399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.3739662170410156
+3507,3507,QSAR-TID-10808,1,62,active,Sparse_ARFF,,,,0.0,1026.0,153.0,0.0,0.0,1025.0,1.0,0.41665029525756836
+3508,3508,QSAR-TID-101182,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4010043144226074
+3509,3509,QSAR-TID-12857,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2741069793701172
+3510,3510,QSAR-TID-12910,1,62,active,Sparse_ARFF,,,,0.0,1026.0,326.0,0.0,0.0,1025.0,1.0,0.36902785301208496
+3511,3511,QSAR-TID-10702,1,62,active,Sparse_ARFF,,,,0.0,1026.0,455.0,0.0,0.0,1025.0,1.0,0.34796810150146484
+3512,3512,QSAR-TID-11726,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.23503518104553223
+3513,3513,QSAR-TID-101222,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.3280014991760254
+3514,3514,QSAR-TID-101237,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2599625587463379
+3515,3515,QSAR-TID-216,1,62,active,Sparse_ARFF,,,,0.0,1026.0,520.0,0.0,0.0,1025.0,1.0,0.390000581741333
+3516,3516,QSAR-TID-10876,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.29303550720214844
+3517,3517,QSAR-TID-87,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4160.0,0.0,0.0,1025.0,1.0,0.4510030746459961
+3518,3518,QSAR-TID-140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.3779592514038086
+3519,3519,QSAR-TID-12809,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.2960343360900879
+3520,3520,QSAR-TID-11209,1,62,active,Sparse_ARFF,,,,0.0,1026.0,95.0,0.0,0.0,1025.0,1.0,0.36800169944763184
+3521,3521,QSAR-TID-10226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.28696513175964355
+3522,3522,QSAR-TID-100629,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.25002145767211914
+3523,3523,QSAR-TID-100425,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.27303051948547363
+3524,3524,QSAR-TID-102734,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.264970064163208
+3525,3525,QSAR-TID-12071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1852.0,0.0,0.0,1025.0,1.0,0.44473981857299805
+3526,3526,QSAR-TID-10012,1,62,active,Sparse_ARFF,,,,0.0,1026.0,224.0,0.0,0.0,1025.0,1.0,0.32897377014160156
+3527,3527,QSAR-TID-10120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,212.0,0.0,0.0,1025.0,1.0,0.41703009605407715
+3528,3528,QSAR-TID-12938,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.35369086265563965
+3529,3529,QSAR-TID-10685,1,62,active,Sparse_ARFF,,,,0.0,1026.0,220.0,0.0,0.0,1025.0,1.0,0.3436119556427002
+3530,3530,QSAR-TID-30002,1,62,active,Sparse_ARFF,,,,0.0,1026.0,646.0,0.0,0.0,1025.0,1.0,0.5203883647918701
+3531,3531,QSAR-TID-174,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2027.0,0.0,0.0,1025.0,1.0,0.4685683250427246
+3532,3532,QSAR-TID-19903,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.32903218269348145
+3533,3533,QSAR-TID-12480,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.3447732925415039
+3534,3534,QSAR-TID-17005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,128.0,0.0,0.0,1025.0,1.0,0.36095309257507324
+3535,3535,QSAR-TID-11003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,866.0,0.0,0.0,1025.0,1.0,0.39618563652038574
+3536,3536,QSAR-TID-12868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.25103116035461426
+3537,3537,QSAR-TID-10649,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.23000240325927734
+3538,3538,QSAR-TID-220,1,62,active,Sparse_ARFF,,,,0.0,1026.0,274.0,0.0,0.0,1025.0,1.0,0.5039613246917725
+3539,3539,QSAR-TID-10371,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.43188047409057617
+3540,3540,QSAR-TID-10081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,248.0,0.0,0.0,1025.0,1.0,0.45099663734436035
+3541,3541,QSAR-TID-20007,1,62,active,Sparse_ARFF,,,,0.0,1026.0,694.0,0.0,0.0,1025.0,1.0,0.4890005588531494
+3542,3542,QSAR-TID-11898,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.3060028553009033
+3543,3543,QSAR-TID-100868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.2730379104614258
+3544,3544,QSAR-TID-101032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.4189581871032715
+3545,3545,QSAR-TID-10903,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.4200010299682617
+3546,3546,QSAR-TID-101473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3340270519256592
+3547,3547,QSAR-TID-251,1,62,active,Sparse_ARFF,,,,0.0,1026.0,426.0,0.0,0.0,1025.0,1.0,0.3599705696105957
+3548,3548,QSAR-TID-101340,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.4280357360839844
+3549,3549,QSAR-TID-101521,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.27397942543029785
+3550,3550,QSAR-TID-11005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.35500407218933105
+3551,3551,QSAR-TID-12913,1,62,active,Sparse_ARFF,,,,0.0,1026.0,800.0,0.0,0.0,1025.0,1.0,0.42902588844299316
+3552,3552,QSAR-TID-10872,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.25797009468078613
+3553,3553,QSAR-TID-11498,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.3690314292907715
+3554,3554,QSAR-TID-101273,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3829803466796875
+3555,3555,QSAR-TID-12807,1,62,active,Sparse_ARFF,,,,0.0,1026.0,146.0,0.0,0.0,1025.0,1.0,0.3989856243133545
+3556,3556,QSAR-TID-148,1,62,active,Sparse_ARFF,,,,0.0,1026.0,404.0,0.0,0.0,1025.0,1.0,0.5680370330810547
+3558,3558,QSAR-TID-100826,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2989997863769531
+3559,3559,QSAR-TID-10489,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.3789656162261963
+3560,3560,QSAR-TID-13067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,540.0,0.0,0.0,1025.0,1.0,0.6099972724914551
+3561,3561,QSAR-TID-17034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.40700221061706543
+3562,3562,QSAR-TID-102733,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.37299633026123047
+3563,3563,QSAR-TID-100789,1,62,active,Sparse_ARFF,,,,0.0,1026.0,676.0,0.0,0.0,1025.0,1.0,0.45744967460632324
+3564,3564,QSAR-TID-20112,1,62,active,Sparse_ARFF,,,,0.0,1026.0,240.0,0.0,0.0,1025.0,1.0,0.4690077304840088
+3565,3565,QSAR-TID-10304,1,62,active,Sparse_ARFF,,,,0.0,1026.0,992.0,0.0,0.0,1025.0,1.0,0.6349656581878662
+3566,3566,QSAR-TID-12753,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.3810000419616699
+3567,3567,QSAR-TID-10044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,939.0,0.0,0.0,1025.0,1.0,0.41899728775024414
+3568,3568,QSAR-TID-30018,1,62,active,Sparse_ARFF,,,,0.0,1026.0,903.0,0.0,0.0,1025.0,1.0,0.43900251388549805
+3569,3569,QSAR-TID-112,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.5289981365203857
+3570,3570,QSAR-TID-12971,1,62,active,Sparse_ARFF,,,,0.0,1026.0,188.0,0.0,0.0,1025.0,1.0,0.37200045585632324
+3571,3571,QSAR-TID-10919,1,62,active,Sparse_ARFF,,,,0.0,1026.0,386.0,0.0,0.0,1025.0,1.0,0.3950004577636719
+3572,3572,QSAR-TID-10960,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.42699718475341797
+3573,3573,QSAR-TID-20067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.26300501823425293
+3574,3574,QSAR-TID-10958,1,62,active,Sparse_ARFF,,,,0.0,1026.0,107.0,0.0,0.0,1025.0,1.0,0.3290548324584961
+3575,3575,QSAR-TID-100579,1,62,active,Sparse_ARFF,,,,0.0,1026.0,564.0,0.0,0.0,1025.0,1.0,0.5790004730224609
+3576,3576,QSAR-TID-100895,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.5194506645202637
+3577,3577,QSAR-TID-103446,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.47513628005981445
+3578,3578,QSAR-TID-262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,429.0,0.0,0.0,1025.0,1.0,0.44196557998657227
+3579,3579,QSAR-TID-12295,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.5312032699584961
+3580,3580,QSAR-TID-103140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.46096348762512207
+3581,3581,QSAR-TID-10580,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1926.0,0.0,0.0,1025.0,1.0,0.47100329399108887
+3582,3582,QSAR-TID-10004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.30101919174194336
+3583,3583,QSAR-TID-10477,1,62,active,Sparse_ARFF,,,,0.0,1026.0,682.0,0.0,0.0,1025.0,1.0,0.44751834869384766
+3584,3584,QSAR-TID-12665,1,62,active,Sparse_ARFF,,,,0.0,1026.0,899.0,0.0,0.0,1025.0,1.0,0.4210689067840576
+3585,3585,QSAR-TID-11534,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1703.0,0.0,0.0,1025.0,1.0,0.5479707717895508
+3586,3586,QSAR-TID-104390,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.4434022903442383
+3587,3587,QSAR-TID-101183,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.5020983219146729
+3588,3588,QSAR-TID-11873,1,62,active,Sparse_ARFF,,,,0.0,1026.0,115.0,0.0,0.0,1025.0,1.0,0.5903513431549072
+3589,3589,QSAR-TID-100186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,360.0,0.0,0.0,1025.0,1.0,0.6803371906280518
+3590,3590,QSAR-TID-17115,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.410538911819458
+3591,3591,QSAR-TID-101204,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.5643079280853271
+3592,3592,QSAR-TID-12077,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.4619905948638916
+3593,3593,QSAR-TID-11113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,94.0,0.0,0.0,1025.0,1.0,0.4703853130340576
+3594,3594,QSAR-TID-11056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.45299243927001953
+3595,3595,QSAR-TID-102576,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.40202951431274414
+3596,3596,QSAR-TID-10438,1,62,active,Sparse_ARFF,,,,0.0,1026.0,565.0,0.0,0.0,1025.0,1.0,0.6160049438476562
+3597,3597,QSAR-TID-143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,393.0,0.0,0.0,1025.0,1.0,0.5300025939941406
+3598,3598,QSAR-TID-10439,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.48397207260131836
+3599,3599,QSAR-TID-101349,1,62,active,Sparse_ARFF,,,,0.0,1026.0,652.0,0.0,0.0,1025.0,1.0,0.6349871158599854
+3600,3600,QSAR-TID-10956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.44901061058044434
+3601,3601,QSAR-TID-13000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3459.0,0.0,0.0,1025.0,1.0,0.6719892024993896
+3602,3602,QSAR-TID-100853,1,62,active,Sparse_ARFF,,,,0.0,1026.0,76.0,0.0,0.0,1025.0,1.0,0.47500085830688477
+3603,3603,QSAR-TID-10614,1,62,active,Sparse_ARFF,,,,0.0,1026.0,246.0,0.0,0.0,1025.0,1.0,0.3390011787414551
+3604,3604,QSAR-TID-8,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1739.0,0.0,0.0,1025.0,1.0,0.41202664375305176
+3605,3605,QSAR-TID-10527,1,62,active,Sparse_ARFF,,,,0.0,1026.0,294.0,0.0,0.0,1025.0,1.0,0.39296817779541016
+3606,3606,QSAR-TID-38,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.3480339050292969
+3607,3607,QSAR-TID-10300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.24998736381530762
+3608,3608,QSAR-TID-11141,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.40097737312316895
+3609,3609,QSAR-TID-11019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,592.0,0.0,0.0,1025.0,1.0,0.49503040313720703
+3610,3610,QSAR-TID-102678,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.39996790885925293
+3611,3611,QSAR-TID-124,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1745.0,0.0,0.0,1025.0,1.0,0.5690057277679443
+3612,3612,QSAR-TID-11409,1,62,active,Sparse_ARFF,,,,0.0,1026.0,927.0,0.0,0.0,1025.0,1.0,0.6029946804046631
+3613,3613,QSAR-TID-10505,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3522951602935791
+3614,3614,QSAR-TID-20166,1,62,active,Sparse_ARFF,,,,0.0,1026.0,561.0,0.0,0.0,1025.0,1.0,0.46570825576782227
+3615,3615,QSAR-TID-12832,1,62,active,Sparse_ARFF,,,,0.0,1026.0,478.0,0.0,0.0,1025.0,1.0,0.4670426845550537
+3616,3616,QSAR-TID-105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1251.0,0.0,0.0,1025.0,1.0,0.4849531650543213
+3617,3617,QSAR-TID-103095,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.41899752616882324
+3618,3618,QSAR-TID-12512,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2866.0,0.0,0.0,1025.0,1.0,0.4990229606628418
+3619,3619,QSAR-TID-11006,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.5489804744720459
+3620,3620,QSAR-TID-102840,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.33699750900268555
+3621,3621,QSAR-TID-30016,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.3885531425476074
+3622,3622,QSAR-TID-100872,1,62,active,Sparse_ARFF,,,,0.0,1026.0,533.0,0.0,0.0,1025.0,1.0,0.44399404525756836
+3623,3623,QSAR-TID-101433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.42302942276000977
+3624,3624,QSAR-TID-101220,1,62,active,Sparse_ARFF,,,,0.0,1026.0,709.0,0.0,0.0,1025.0,1.0,0.3970057964324951
+3625,3625,QSAR-TID-11000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.28800129890441895
+3626,3626,QSAR-TID-103437,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.40099525451660156
+3627,3627,QSAR-TID-100942,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2729685306549072
+3628,3628,QSAR-TID-12294,1,62,active,Sparse_ARFF,,,,0.0,1026.0,290.0,0.0,0.0,1025.0,1.0,0.3550291061401367
+3629,3629,QSAR-TID-100917,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.39700818061828613
+3630,3630,QSAR-TID-101281,1,62,active,Sparse_ARFF,,,,0.0,1026.0,670.0,0.0,0.0,1025.0,1.0,0.3869595527648926
+3631,3631,QSAR-TID-12719,1,62,active,Sparse_ARFF,,,,0.0,1026.0,54.0,0.0,0.0,1025.0,1.0,0.3050227165222168
+3632,3632,QSAR-TID-10928,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.4239780902862549
+3633,3633,QSAR-TID-100452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,46.0,0.0,0.0,1025.0,1.0,0.32103419303894043
+3634,3634,QSAR-TID-105654,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2709689140319824
+3635,3635,QSAR-TID-102473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.4700343608856201
+3636,3636,QSAR-TID-101036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.28099727630615234
+3637,3637,QSAR-TID-11617,1,62,active,Sparse_ARFF,,,,0.0,1026.0,309.0,0.0,0.0,1025.0,1.0,0.48296666145324707
+3638,3638,QSAR-TID-12037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.4040260314941406
+3639,3639,QSAR-TID-12790,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.36097121238708496
+3640,3640,QSAR-TID-11260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.36103296279907227
+3641,3641,QSAR-TID-11606,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2592604160308838
+3642,3642,QSAR-TID-10586,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.31400442123413086
+3643,3643,QSAR-TID-102578,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2649972438812256
+3644,3644,QSAR-TID-101610,1,62,active,Sparse_ARFF,,,,0.0,1026.0,145.0,0.0,0.0,1025.0,1.0,0.34999918937683105
+3645,3645,QSAR-TID-102391,1,62,active,Sparse_ARFF,,,,0.0,1026.0,516.0,0.0,0.0,1025.0,1.0,0.46203017234802246
+3646,3646,QSAR-TID-12202,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.32400989532470703
+3647,3647,QSAR-TID-19639,1,62,active,Sparse_ARFF,,,,0.0,1026.0,958.0,0.0,0.0,1025.0,1.0,0.4449903964996338
+3648,3648,QSAR-TID-102580,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.26798009872436523
+3649,3649,QSAR-TID-30025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,813.0,0.0,0.0,1025.0,1.0,0.48054051399230957
+3650,3650,QSAR-TID-103726,1,62,active,Sparse_ARFF,,,,0.0,1026.0,348.0,0.0,0.0,1025.0,1.0,0.3539869785308838
+3651,3651,QSAR-TID-11522,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1585.0,0.0,0.0,1025.0,1.0,0.514979362487793
+3652,3652,QSAR-TID-100415,1,62,active,Sparse_ARFF,,,,0.0,1026.0,804.0,0.0,0.0,1025.0,1.0,0.5050346851348877
+3653,3653,QSAR-TID-17052,1,62,active,Sparse_ARFF,,,,0.0,1026.0,55.0,0.0,0.0,1025.0,1.0,0.31400585174560547
+3654,3654,QSAR-TID-100833,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.39096570014953613
+3655,3655,QSAR-TID-11720,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1027.0,0.0,0.0,1025.0,1.0,0.4649970531463623
+3656,3656,QSAR-TID-99,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.30706357955932617
+3657,3657,QSAR-TID-12968,1,62,active,Sparse_ARFF,,,,0.0,1026.0,668.0,0.0,0.0,1025.0,1.0,0.3589944839477539
+3658,3658,QSAR-TID-57,1,62,active,Sparse_ARFF,,,,0.0,1026.0,269.0,0.0,0.0,1025.0,1.0,0.3859739303588867
+3659,3659,QSAR-TID-10403,1,62,active,Sparse_ARFF,,,,0.0,1026.0,935.0,0.0,0.0,1025.0,1.0,0.5010092258453369
+3660,3660,QSAR-TID-101607,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.35300111770629883
+3661,3661,QSAR-TID-20137,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.45463132858276367
+3662,3662,QSAR-TID-101179,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.40300536155700684
+3663,3663,QSAR-TID-17033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,270.0,0.0,0.0,1025.0,1.0,0.4219934940338135
+3664,3664,QSAR-TID-12013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,200.0,0.0,0.0,1025.0,1.0,0.3856227397918701
+3665,3665,QSAR-TID-19607,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.32596778869628906
+3666,3666,QSAR-TID-10971,1,62,active,Sparse_ARFF,,,,0.0,1026.0,108.0,0.0,0.0,1025.0,1.0,0.45400452613830566
+3667,3667,QSAR-TID-10964,1,62,active,Sparse_ARFF,,,,0.0,1026.0,165.0,0.0,0.0,1025.0,1.0,0.37200307846069336
+3668,3668,QSAR-TID-100071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.35213303565979004
+3669,3669,QSAR-TID-19624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.36803388595581055
+3670,3670,QSAR-TID-19907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.24199581146240234
+3671,3671,QSAR-TID-30042,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.44496607780456543
+3672,3672,QSAR-TID-101404,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.40103673934936523
+3673,3673,QSAR-TID-12861,1,62,active,Sparse_ARFF,,,,0.0,1026.0,235.0,0.0,0.0,1025.0,1.0,0.33157801628112793
+3674,3674,QSAR-TID-12635,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.29297304153442383
+3675,3675,QSAR-TID-10908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.30199742317199707
+3676,3676,QSAR-TID-214,1,62,active,Sparse_ARFF,,,,0.0,1026.0,770.0,0.0,0.0,1025.0,1.0,0.438035249710083
+3677,3677,QSAR-TID-11635,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1003.0,0.0,0.0,1025.0,1.0,0.43799853324890137
+3678,3678,QSAR-TID-12469,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.3405802249908447
+3679,3679,QSAR-TID-101317,1,62,active,Sparse_ARFF,,,,0.0,1026.0,99.0,0.0,0.0,1025.0,1.0,0.3740367889404297
+3680,3680,QSAR-TID-30006,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3639957904815674
+3681,3681,QSAR-TID-12299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,45.0,0.0,0.0,1025.0,1.0,0.3350105285644531
+3682,3682,QSAR-TID-100790,1,62,active,Sparse_ARFF,,,,0.0,1026.0,170.0,0.0,0.0,1025.0,1.0,0.4100043773651123
+3683,3683,QSAR-TID-18033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.45499348640441895
+3684,3684,QSAR-TID-10651,1,62,active,Sparse_ARFF,,,,0.0,1026.0,235.0,0.0,0.0,1025.0,1.0,0.33667492866516113
+3685,3685,QSAR-TID-12214,1,62,active,Sparse_ARFF,,,,0.0,1026.0,330.0,0.0,0.0,1025.0,1.0,0.38500070571899414
+3686,3686,QSAR-TID-10014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,979.0,0.0,0.0,1025.0,1.0,0.4991767406463623
+3687,3687,QSAR-TID-11281,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.3090076446533203
+3688,3688,QSAR-TID-11848,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.35695958137512207
+3689,3689,QSAR-TID-10549,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.4489271640777588
+3690,3690,QSAR-TID-10008,1,62,active,Sparse_ARFF,,,,0.0,1026.0,189.0,0.0,0.0,1025.0,1.0,0.44496750831604004
+3691,3691,QSAR-TID-10984,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.2579953670501709
+3692,3692,QSAR-TID-12679,1,62,active,Sparse_ARFF,,,,0.0,1026.0,337.0,0.0,0.0,1025.0,1.0,0.4131460189819336
+3693,3693,QSAR-TID-11192,1,62,active,Sparse_ARFF,,,,0.0,1026.0,380.0,0.0,0.0,1025.0,1.0,0.41731786727905273
+3694,3694,QSAR-TID-10466,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.47647929191589355
+3695,3695,QSAR-TID-30005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.45326852798461914
+3696,3696,QSAR-TID-11842,1,62,active,Sparse_ARFF,,,,0.0,1026.0,919.0,0.0,0.0,1025.0,1.0,0.43285584449768066
+3697,3697,QSAR-TID-11629,1,62,active,Sparse_ARFF,,,,0.0,1026.0,688.0,0.0,0.0,1025.0,1.0,0.42898106575012207
+3698,3698,QSAR-TID-12793,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.3783233165740967
+3699,3699,QSAR-TID-12947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1287.0,0.0,0.0,1025.0,1.0,0.4797818660736084
+3700,3700,QSAR-TID-10407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.3913426399230957
+3701,3701,QSAR-TID-14070,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2872185707092285
+3702,3702,QSAR-TID-101130,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.38558387756347656
+3703,3703,QSAR-TID-10441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,304.0,0.0,0.0,1025.0,1.0,0.41918110847473145
+3704,3704,QSAR-TID-12720,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.23496580123901367
+3705,3705,QSAR-TID-12449,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.40006041526794434
+3706,3706,QSAR-TID-12956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.30300045013427734
+3707,3707,QSAR-TID-25,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1897.0,0.0,0.0,1025.0,1.0,0.5354442596435547
+3708,3708,QSAR-TID-12919,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4168069362640381
+3709,3709,QSAR-TID-102815,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.40020155906677246
+3710,3710,QSAR-TID-11188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.3199944496154785
+3711,3711,QSAR-TID-10331,1,62,active,Sparse_ARFF,,,,0.0,1026.0,303.0,0.0,0.0,1025.0,1.0,0.3619990348815918
+3712,3712,QSAR-TID-64,1,62,active,Sparse_ARFF,,,,0.0,1026.0,358.0,0.0,0.0,1025.0,1.0,0.3789999485015869
+3713,3713,QSAR-TID-11752,1,62,active,Sparse_ARFF,,,,0.0,1026.0,985.0,0.0,0.0,1025.0,1.0,0.42003631591796875
+3714,3714,QSAR-TID-11119,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.3300051689147949
+3715,3715,QSAR-TID-102927,1,62,active,Sparse_ARFF,,,,0.0,1026.0,212.0,0.0,0.0,1025.0,1.0,0.4335441589355469
+3716,3716,QSAR-TID-30033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.38700318336486816
+3717,3717,QSAR-TID-103433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.38385701179504395
+3718,3718,QSAR-TID-30029,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3614354133605957
+3719,3719,QSAR-TID-100052,1,62,active,Sparse_ARFF,,,,0.0,1026.0,26.0,0.0,0.0,1025.0,1.0,0.3040478229522705
+3720,3720,QSAR-TID-17074,1,62,active,Sparse_ARFF,,,,0.0,1026.0,671.0,0.0,0.0,1025.0,1.0,0.4379725456237793
+3721,3721,QSAR-TID-11061,1,62,active,Sparse_ARFF,,,,0.0,1026.0,291.0,0.0,0.0,1025.0,1.0,0.6249926090240479
+3722,3722,QSAR-TID-30003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,778.0,0.0,0.0,1025.0,1.0,0.5440318584442139
+3723,3723,QSAR-TID-10747,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.3439667224884033
+3724,3724,QSAR-TID-10679,1,62,active,Sparse_ARFF,,,,0.0,1026.0,262.0,0.0,0.0,1025.0,1.0,0.42400264739990234
+3725,3725,QSAR-TID-10674,1,62,active,Sparse_ARFF,,,,0.0,1026.0,511.0,0.0,0.0,1025.0,1.0,0.42099499702453613
+3726,3726,QSAR-TID-30046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.40103840827941895
+3727,3727,QSAR-TID-12076,1,62,active,Sparse_ARFF,,,,0.0,1026.0,512.0,0.0,0.0,1025.0,1.0,0.39490246772766113
+3728,3728,QSAR-TID-11337,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.31397485733032227
+3729,3729,QSAR-TID-17063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.2768070697784424
+3730,3730,QSAR-TID-11408,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.3817267417907715
+3731,3731,QSAR-TID-43,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1577.0,0.0,0.0,1025.0,1.0,0.40472412109375
+3732,3732,QSAR-TID-101405,1,62,active,Sparse_ARFF,,,,0.0,1026.0,117.0,0.0,0.0,1025.0,1.0,0.4056873321533203
+3733,3733,QSAR-TID-11622,1,62,active,Sparse_ARFF,,,,0.0,1026.0,792.0,0.0,0.0,1025.0,1.0,0.3780035972595215
+3734,3734,QSAR-TID-11569,1,62,active,Sparse_ARFF,,,,0.0,1026.0,120.0,0.0,0.0,1025.0,1.0,0.35495829582214355
+3735,3735,QSAR-TID-11680,1,62,active,Sparse_ARFF,,,,0.0,1026.0,395.0,0.0,0.0,1025.0,1.0,0.42602038383483887
+3736,3736,QSAR-TID-20129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.26914024353027344
+3737,3737,QSAR-TID-101199,1,62,active,Sparse_ARFF,,,,0.0,1026.0,341.0,0.0,0.0,1025.0,1.0,0.3330380916595459
+3738,3738,QSAR-TID-17089,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2659928798675537
+3739,3739,QSAR-TID-12017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.28899216651916504
+3740,3740,QSAR-TID-18025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.3039722442626953
+3741,3741,QSAR-TID-11149,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1521.0,0.0,0.0,1025.0,1.0,0.469010591506958
+3742,3742,QSAR-TID-30019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.37598371505737305
+3743,3743,QSAR-TID-10078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,55.0,0.0,0.0,1025.0,1.0,0.24103641510009766
+3744,3744,QSAR-TID-104430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.26800036430358887
+3745,3745,QSAR-TID-10684,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.357990026473999
+3746,3746,QSAR-TID-10222,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.30899858474731445
+3747,3747,QSAR-TID-12226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,665.0,0.0,0.0,1025.0,1.0,0.3809952735900879
+3748,3748,QSAR-TID-12831,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.2890005111694336
+3749,3749,QSAR-TID-10529,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2578.0,0.0,0.0,1025.0,1.0,0.40602946281433105
+3750,3750,QSAR-TID-119,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.2554621696472168
+3751,3751,QSAR-TID-100613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,51.0,0.0,0.0,1025.0,1.0,0.2710394859313965
+3752,3752,QSAR-TID-248,1,62,active,Sparse_ARFF,,,,0.0,1026.0,923.0,0.0,0.0,1025.0,1.0,0.4320065975189209
+3753,3753,QSAR-TID-10436,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.336961030960083
+3754,3754,QSAR-TID-11615,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2629995346069336
+3755,3755,QSAR-TID-10542,1,62,active,Sparse_ARFF,,,,0.0,1026.0,351.0,0.0,0.0,1025.0,1.0,0.34903573989868164
+3756,3756,QSAR-TID-102399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3824291229248047
+3757,3757,QSAR-TID-11639,1,62,active,Sparse_ARFF,,,,0.0,1026.0,201.0,0.0,0.0,1025.0,1.0,0.40058374404907227
+3758,3758,QSAR-TID-20128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,100.0,0.0,0.0,1025.0,1.0,0.3589751720428467
+3759,3759,QSAR-TID-69,1,62,active,Sparse_ARFF,,,,0.0,1026.0,569.0,0.0,0.0,1025.0,1.0,0.40702223777770996
+3760,3760,QSAR-TID-117,1,62,active,Sparse_ARFF,,,,0.0,1026.0,818.0,0.0,0.0,1025.0,1.0,0.382007360458374
+3761,3761,QSAR-TID-11536,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1306.0,0.0,0.0,1025.0,1.0,0.39110231399536133
+3762,3762,QSAR-TID-10889,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2799668312072754
+3763,3763,QSAR-TID-10677,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.29061269760131836
+3764,3764,QSAR-TID-30026,1,62,active,Sparse_ARFF,,,,0.0,1026.0,553.0,0.0,0.0,1025.0,1.0,0.36373019218444824
+3765,3765,QSAR-TID-30013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,244.0,0.0,0.0,1025.0,1.0,0.38104772567749023
+3766,3766,QSAR-TID-11626,1,62,active,Sparse_ARFF,,,,0.0,1026.0,507.0,0.0,0.0,1025.0,1.0,0.3575255870819092
+3767,3767,QSAR-TID-11843,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.33600544929504395
+3768,3768,QSAR-TID-10323,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.29796719551086426
+3769,3769,QSAR-TID-10579,1,62,active,Sparse_ARFF,,,,0.0,1026.0,388.0,0.0,0.0,1025.0,1.0,0.4137849807739258
+3770,3770,QSAR-TID-103088,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2530522346496582
+3771,3771,QSAR-TID-100098,1,62,active,Sparse_ARFF,,,,0.0,1026.0,472.0,0.0,0.0,1025.0,1.0,0.39298319816589355
+3772,3772,QSAR-TID-12825,1,62,active,Sparse_ARFF,,,,0.0,1026.0,847.0,0.0,0.0,1025.0,1.0,0.39691781997680664
+3773,3773,QSAR-TID-10613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,247.0,0.0,0.0,1025.0,1.0,0.3210303783416748
+3774,3774,QSAR-TID-11947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2560269832611084
+3775,3775,QSAR-TID-88,1,62,active,Sparse_ARFF,,,,0.0,1026.0,895.0,0.0,0.0,1025.0,1.0,0.4356529712677002
+3776,3776,QSAR-TID-10131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1979.0,0.0,0.0,1025.0,1.0,0.4510378837585449
+3777,3777,QSAR-TID-10235,1,62,active,Sparse_ARFF,,,,0.0,1026.0,93.0,0.0,0.0,1025.0,1.0,0.3929629325866699
+3778,3778,QSAR-TID-11336,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1199.0,0.0,0.0,1025.0,1.0,0.45183515548706055
+3779,3779,QSAR-TID-10927,1,62,active,Sparse_ARFF,,,,0.0,1026.0,446.0,0.0,0.0,1025.0,1.0,0.3822057247161865
+3780,3780,QSAR-TID-11926,1,62,active,Sparse_ARFF,,,,0.0,1026.0,756.0,0.0,0.0,1025.0,1.0,0.39664220809936523
+3781,3781,QSAR-TID-20084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.24703550338745117
+3782,3782,QSAR-TID-100429,1,62,active,Sparse_ARFF,,,,0.0,1026.0,45.0,0.0,0.0,1025.0,1.0,0.3207859992980957
+3783,3783,QSAR-TID-128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1386.0,0.0,0.0,1025.0,1.0,0.39722633361816406
+3784,3784,QSAR-TID-10711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.34200167655944824
+3785,3785,QSAR-TID-100852,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.44596362113952637
+3786,3786,QSAR-TID-100633,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.3524479866027832
+3787,3787,QSAR-TID-11046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,392.0,0.0,0.0,1025.0,1.0,0.3919985294342041
+3788,3788,QSAR-TID-100126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.43288469314575195
+3789,3789,QSAR-TID-13004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.3591189384460449
+3790,3790,QSAR-TID-17080,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1135.0,0.0,0.0,1025.0,1.0,0.4430878162384033
+3791,3791,QSAR-TID-10564,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.29703330993652344
+3792,3792,QSAR-TID-11638,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1180.0,0.0,0.0,1025.0,1.0,0.41096949577331543
+3793,3793,QSAR-TID-12,1,62,active,Sparse_ARFF,,,,0.0,1026.0,927.0,0.0,0.0,1025.0,1.0,0.3957233428955078
+3794,3794,QSAR-TID-10778,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3749995231628418
+3795,3795,QSAR-TID-14073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2845003604888916
+3797,3797,QSAR-TID-11589,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.312960147857666
+3798,3798,QSAR-TID-10486,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.2850034236907959
+3799,3799,QSAR-TID-10939,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.41294074058532715
+3800,3800,QSAR-TID-104261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.29498863220214844
+3801,3801,QSAR-TID-100845,1,62,active,Sparse_ARFF,,,,0.0,1026.0,836.0,0.0,0.0,1025.0,1.0,0.38699960708618164
+3802,3802,QSAR-TID-12789,1,62,active,Sparse_ARFF,,,,0.0,1026.0,309.0,0.0,0.0,1025.0,1.0,0.3540370464324951
+3803,3803,QSAR-TID-103435,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3329935073852539
+3804,3804,QSAR-TID-11530,1,62,active,Sparse_ARFF,,,,0.0,1026.0,49.0,0.0,0.0,1025.0,1.0,0.29012608528137207
+3805,3805,QSAR-TID-11685,1,62,active,Sparse_ARFF,,,,0.0,1026.0,154.0,0.0,0.0,1025.0,1.0,0.34668660163879395
+3806,3806,QSAR-TID-101477,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2659611701965332
+3807,3807,QSAR-TID-101465,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.37103700637817383
+3808,3808,QSAR-TID-101417,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.26462268829345703
+3809,3809,QSAR-TID-11082,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1695.0,0.0,0.0,1025.0,1.0,0.4369823932647705
+3810,3810,QSAR-TID-12862,1,62,active,Sparse_ARFF,,,,0.0,1026.0,395.0,0.0,0.0,1025.0,1.0,0.447037935256958
+3811,3811,QSAR-TID-10885,1,62,active,Sparse_ARFF,,,,0.0,1026.0,937.0,0.0,0.0,1025.0,1.0,0.39196157455444336
+3812,3812,QSAR-TID-50,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1414.0,0.0,0.0,1025.0,1.0,0.42799854278564453
+3813,3813,QSAR-TID-100412,1,62,active,Sparse_ARFF,,,,0.0,1026.0,906.0,0.0,0.0,1025.0,1.0,0.3960306644439697
+3814,3814,QSAR-TID-12592,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2615.0,0.0,0.0,1025.0,1.0,0.4280233383178711
+3816,3816,QSAR-TID-12567,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.24400591850280762
+3817,3817,QSAR-TID-116,1,62,active,Sparse_ARFF,,,,0.0,1026.0,794.0,0.0,0.0,1025.0,1.0,0.39299821853637695
+3818,3818,QSAR-TID-17049,1,62,active,Sparse_ARFF,,,,0.0,1026.0,54.0,0.0,0.0,1025.0,1.0,0.26921510696411133
+3819,3819,QSAR-TID-11288,1,62,active,Sparse_ARFF,,,,0.0,1026.0,665.0,0.0,0.0,1025.0,1.0,0.3610343933105469
+3820,3820,QSAR-TID-36,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1731.0,0.0,0.0,1025.0,1.0,0.39882993698120117
+3821,3821,QSAR-TID-100856,1,62,active,Sparse_ARFF,,,,0.0,1026.0,471.0,0.0,0.0,1025.0,1.0,0.371016263961792
+3822,3822,QSAR-TID-100861,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.286099910736084
+3823,3823,QSAR-TID-103,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1194.0,0.0,0.0,1025.0,1.0,0.4059600830078125
+3824,3824,QSAR-TID-10034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,574.0,0.0,0.0,1025.0,1.0,0.3749964237213135
+3825,3825,QSAR-TID-101612,1,62,active,Sparse_ARFF,,,,0.0,1026.0,91.0,0.0,0.0,1025.0,1.0,0.34903812408447266
+3826,3826,QSAR-TID-100947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,949.0,0.0,0.0,1025.0,1.0,0.40096163749694824
+3827,3827,QSAR-TID-101191,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.34299778938293457
+3828,3828,QSAR-TID-100288,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2476050853729248
+3829,3829,QSAR-TID-12566,1,62,active,Sparse_ARFF,,,,0.0,1026.0,298.0,0.0,0.0,1025.0,1.0,0.3490183353424072
+3830,3830,QSAR-TID-101186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.3060111999511719
+3831,3831,QSAR-TID-101048,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3798239231109619
+3832,3832,QSAR-TID-102667,1,62,active,Sparse_ARFF,,,,0.0,1026.0,106.0,0.0,0.0,1025.0,1.0,0.36884403228759766
+3833,3833,QSAR-TID-12898,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.28263330459594727
+3834,3834,QSAR-TID-12780,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.35698580741882324
+3835,3835,QSAR-TID-10003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1187.0,0.0,0.0,1025.0,1.0,0.38100314140319824
+3836,3836,QSAR-TID-142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,300.0,0.0,0.0,1025.0,1.0,0.4070303440093994
+3837,3837,QSAR-TID-12023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,283.0,0.0,0.0,1025.0,1.0,0.35472750663757324
+3838,3838,QSAR-TID-10216,1,62,active,Sparse_ARFF,,,,0.0,1026.0,864.0,0.0,0.0,1025.0,1.0,0.41949987411499023
+3839,3839,QSAR-TID-11089,1,62,active,Sparse_ARFF,,,,0.0,1026.0,28.0,0.0,0.0,1025.0,1.0,0.29399585723876953
+3840,3840,QSAR-TID-10959,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.30503392219543457
+3841,3841,QSAR-TID-11678,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2577.0,0.0,0.0,1025.0,1.0,0.388962984085083
+3842,3842,QSAR-TID-12413,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.28995347023010254
+3843,3843,QSAR-TID-10811,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1480.0,0.0,0.0,1025.0,1.0,0.4328286647796631
+3844,3844,QSAR-TID-12347,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.24223756790161133
+3845,3845,QSAR-TID-30034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,162.0,0.0,0.0,1025.0,1.0,0.3471815586090088
+3846,3846,QSAR-TID-103780,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.25397777557373047
+3847,3847,QSAR-TID-11736,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1649.0,0.0,0.0,1025.0,1.0,0.3769698143005371
+3848,3848,QSAR-TID-11929,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2547931671142578
+3849,3849,QSAR-TID-11407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1488.0,0.0,0.0,1025.0,1.0,0.37014293670654297
+3850,3850,QSAR-TID-10140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2615.0,0.0,0.0,1025.0,1.0,0.4250800609588623
+3851,3851,QSAR-TID-10809,1,62,active,Sparse_ARFF,,,,0.0,1026.0,573.0,0.0,0.0,1025.0,1.0,0.3794214725494385
+3852,3852,QSAR-TID-101131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,929.0,0.0,0.0,1025.0,1.0,0.4029672145843506
+3853,3853,QSAR-TID-10462,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.28124547004699707
+3854,3854,QSAR-TID-11262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.26216959953308105
+3855,3855,QSAR-TID-237,1,62,active,Sparse_ARFF,,,,0.0,1026.0,510.0,0.0,0.0,1025.0,1.0,0.3868834972381592
+3856,3856,QSAR-TID-30040,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.4150385856628418
+3857,3857,QSAR-TID-10617,1,62,active,Sparse_ARFF,,,,0.0,1026.0,226.0,0.0,0.0,1025.0,1.0,0.3409607410430908
+3858,3858,QSAR-TID-101078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36299777030944824
+3859,3859,QSAR-TID-125,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1425.0,0.0,0.0,1025.0,1.0,0.42203640937805176
+3860,3860,QSAR-TID-10283,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.23151874542236328
+3861,3861,QSAR-TID-100850,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.41747164726257324
+3862,3862,QSAR-TID-10624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,466.0,0.0,0.0,1025.0,1.0,0.7020046710968018
+3863,3863,QSAR-TID-238,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1358.0,0.0,0.0,1025.0,1.0,0.46003031730651855
+3864,3864,QSAR-TID-11280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1584.0,0.0,0.0,1025.0,1.0,0.4041934013366699
+3865,3865,QSAR-TID-100287,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.2730119228363037
+3866,3866,QSAR-TID-101553,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.37671446800231934
+3867,3867,QSAR-TID-11562,1,62,active,Sparse_ARFF,,,,0.0,1026.0,492.0,0.0,0.0,1025.0,1.0,0.37700462341308594
+3868,3868,QSAR-TID-30031,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.37703633308410645
+3869,3869,QSAR-TID-12806,1,62,active,Sparse_ARFF,,,,0.0,1026.0,301.0,0.0,0.0,1025.0,1.0,0.4079766273498535
+3870,3870,QSAR-TID-10983,1,62,active,Sparse_ARFF,,,,0.0,1026.0,119.0,0.0,0.0,1025.0,1.0,0.3840155601501465
+3871,3871,QSAR-TID-100931,1,62,active,Sparse_ARFF,,,,0.0,1026.0,110.0,0.0,0.0,1025.0,1.0,0.4126393795013428
+3872,3872,QSAR-TID-107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2778.0,0.0,0.0,1025.0,1.0,0.5240321159362793
+3873,3873,QSAR-TID-11107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.32271718978881836
+3874,3874,QSAR-TID-11290,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.41700077056884766
+3875,3875,QSAR-TID-188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2230.0,0.0,0.0,1025.0,1.0,0.40309572219848633
+3876,3876,QSAR-TID-103469,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.28396034240722656
+3877,3877,QSAR-TID-10626,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.2610008716583252
+3878,3878,QSAR-TID-10026,1,62,active,Sparse_ARFF,,,,0.0,1026.0,621.0,0.0,0.0,1025.0,1.0,0.3471639156341553
+3879,3879,QSAR-TID-11426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,307.0,0.0,0.0,1025.0,1.0,0.39099717140197754
+3880,3880,QSAR-TID-12114,1,62,active,Sparse_ARFF,,,,0.0,1026.0,131.0,0.0,0.0,1025.0,1.0,0.369002103805542
+3881,3881,QSAR-TID-10961,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.366121768951416
+3882,3882,QSAR-TID-11298,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.29484105110168457
+3883,3883,QSAR-TID-11090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.3110830783843994
+3884,3884,QSAR-TID-103081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.2589986324310303
+3885,3885,QSAR-TID-12247,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1403.0,0.0,0.0,1025.0,1.0,0.4210178852081299
+3886,3886,QSAR-TID-95,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.3036460876464844
+3887,3887,QSAR-TID-12243,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2378218173980713
+3888,3888,QSAR-TID-11968,1,62,active,Sparse_ARFF,,,,0.0,1026.0,338.0,0.0,0.0,1025.0,1.0,0.34527015686035156
+3889,3889,QSAR-TID-12659,1,62,active,Sparse_ARFF,,,,0.0,1026.0,577.0,0.0,0.0,1025.0,1.0,0.3960080146789551
+3890,3890,QSAR-TID-103584,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2573707103729248
+3891,3891,QSAR-TID-10351,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.27237439155578613
+3892,3892,QSAR-TID-10453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.27399754524230957
+3893,3893,QSAR-TID-12627,1,62,active,Sparse_ARFF,,,,0.0,1026.0,612.0,0.0,0.0,1025.0,1.0,0.42711830139160156
+3894,3894,QSAR-TID-101613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,96.0,0.0,0.0,1025.0,1.0,0.3570289611816406
+3895,3895,QSAR-TID-179,1,62,active,Sparse_ARFF,,,,0.0,1026.0,127.0,0.0,0.0,1025.0,1.0,0.32852840423583984
+3896,3896,QSAR-TID-100824,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5180685520172119
+3897,3897,QSAR-TID-10360,1,62,active,Sparse_ARFF,,,,0.0,1026.0,155.0,0.0,0.0,1025.0,1.0,0.5360012054443359
+3898,3898,QSAR-TID-101014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,448.0,0.0,0.0,1025.0,1.0,0.4389989376068115
+3899,3899,QSAR-TID-10618,1,62,active,Sparse_ARFF,,,,0.0,1026.0,134.0,0.0,0.0,1025.0,1.0,0.37202978134155273
+3900,3900,QSAR-TID-101333,1,62,active,Sparse_ARFF,,,,0.0,1026.0,168.0,0.0,0.0,1025.0,1.0,0.4049997329711914
+3901,3901,QSAR-TID-30023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,526.0,0.0,0.0,1025.0,1.0,0.6059703826904297
+3902,3902,QSAR-TID-10577,1,62,active,Sparse_ARFF,,,,0.0,1026.0,397.0,0.0,0.0,1025.0,1.0,0.45800161361694336
+3903,3903,QSAR-TID-103521,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2670321464538574
+3904,3904,QSAR-TID-30012,1,62,active,Sparse_ARFF,,,,0.0,1026.0,559.0,0.0,0.0,1025.0,1.0,0.3719649314880371
+3905,3905,QSAR-TID-100925,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5080022811889648
+3906,3906,QSAR-TID-10741,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.32899904251098633
+3907,3907,QSAR-TID-10031,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3490307331085205
+3908,3908,QSAR-TID-101188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.5299699306488037
+3909,3909,QSAR-TID-12263,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.2909994125366211
+3910,3910,QSAR-TID-10057,1,62,active,Sparse_ARFF,,,,0.0,1026.0,209.0,0.0,0.0,1025.0,1.0,0.5179996490478516
+3911,3911,QSAR-TID-11047,1,62,active,Sparse_ARFF,,,,0.0,1026.0,92.0,0.0,0.0,1025.0,1.0,0.5409996509552002
+3912,3912,QSAR-TID-30050,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4269998073577881
+3913,3913,QSAR-TID-102420,1,62,active,Sparse_ARFF,,,,0.0,1026.0,349.0,0.0,0.0,1025.0,1.0,0.4329967498779297
+3914,3914,QSAR-TID-100431,1,62,active,Sparse_ARFF,,,,0.0,1026.0,468.0,0.0,0.0,1025.0,1.0,0.40799975395202637
+3915,3915,QSAR-TID-11109,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1976.0,0.0,0.0,1025.0,1.0,0.4400303363800049
+3916,3916,QSAR-TID-30001,1,62,active,Sparse_ARFF,,,,0.0,1026.0,717.0,0.0,0.0,1025.0,1.0,0.41050052642822266
+3917,3917,QSAR-TID-30037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,711.0,0.0,0.0,1025.0,1.0,0.4285101890563965
+3918,3918,QSAR-TID-12396,1,62,active,Sparse_ARFF,,,,0.0,1026.0,93.0,0.0,0.0,1025.0,1.0,0.5013406276702881
+3919,3919,QSAR-TID-10785,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.37200355529785156
+3920,3920,QSAR-TID-11279,1,62,active,Sparse_ARFF,,,,0.0,1026.0,522.0,0.0,0.0,1025.0,1.0,0.39902734756469727
+3921,3921,QSAR-TID-17121,1,62,active,Sparse_ARFF,,,,0.0,1026.0,182.0,0.0,0.0,1025.0,1.0,0.3510010242462158
+3922,3922,QSAR-TID-100414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,266.0,0.0,0.0,1025.0,1.0,0.3782978057861328
+3923,3923,QSAR-TID-20110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.26907801628112793
+3924,3924,QSAR-TID-10297,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.36098480224609375
+3925,3925,QSAR-TID-101090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.26700925827026367
+3926,3926,QSAR-TID-10627,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2408.0,0.0,0.0,1025.0,1.0,0.5489709377288818
+3927,3927,QSAR-TID-11567,1,62,active,Sparse_ARFF,,,,0.0,1026.0,76.0,0.0,0.0,1025.0,1.0,0.41100454330444336
+3928,3928,QSAR-TID-100417,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1239.0,0.0,0.0,1025.0,1.0,0.40590953826904297
+3929,3929,QSAR-TID-11010,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.35097241401672363
+3930,3930,QSAR-TID-11925,1,62,active,Sparse_ARFF,,,,0.0,1026.0,95.0,0.0,0.0,1025.0,1.0,0.411029577255249
+3931,3931,QSAR-TID-100855,1,62,active,Sparse_ARFF,,,,0.0,1026.0,811.0,0.0,0.0,1025.0,1.0,0.6220107078552246
+3932,3932,QSAR-TID-10187,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3710315227508545
+3933,3933,QSAR-TID-9,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5013.0,0.0,0.0,1025.0,1.0,0.47386884689331055
+3934,3934,QSAR-TID-10904,1,62,active,Sparse_ARFF,,,,0.0,1026.0,483.0,0.0,0.0,1025.0,1.0,0.3789958953857422
+3935,3935,QSAR-TID-11766,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.280001163482666
+3936,3936,QSAR-TID-11637,1,62,active,Sparse_ARFF,,,,0.0,1026.0,96.0,0.0,0.0,1025.0,1.0,0.42796874046325684
+3937,3937,QSAR-TID-11718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.398029088973999
+3938,3938,QSAR-TID-101030,1,62,active,Sparse_ARFF,,,,0.0,1026.0,103.0,0.0,0.0,1025.0,1.0,0.4309675693511963
+3939,3939,QSAR-TID-101056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4060027599334717
+3940,3940,QSAR-TID-11150,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.45900464057922363
+3941,3941,QSAR-TID-10578,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.4669930934906006
+3942,3942,QSAR-TID-101034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,746.0,0.0,0.0,1025.0,1.0,0.6409971714019775
+3943,3943,QSAR-TID-102669,1,62,active,Sparse_ARFF,,,,0.0,1026.0,180.0,0.0,0.0,1025.0,1.0,0.3930082321166992
+3944,3944,QSAR-TID-35,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1597.0,0.0,0.0,1025.0,1.0,0.41675758361816406
+3945,3945,QSAR-TID-10495,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1829.0,0.0,0.0,1025.0,1.0,0.605905294418335
+3947,3947,QSAR-TID-10315,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1086.0,0.0,0.0,1025.0,1.0,0.4369995594024658
+3948,3948,QSAR-TID-100143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.32460689544677734
+3949,3949,QSAR-TID-12471,1,62,active,Sparse_ARFF,,,,0.0,1026.0,406.0,0.0,0.0,1025.0,1.0,0.529998779296875
+3950,3950,QSAR-TID-261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,542.0,0.0,0.0,1025.0,1.0,0.43203282356262207
+3951,3951,QSAR-TID-10907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1443.0,0.0,0.0,1025.0,1.0,0.3817138671875
+3952,3952,QSAR-TID-17000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.24000048637390137
+3953,3953,QSAR-TID-12965,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.2780585289001465
+3954,3954,QSAR-TID-12854,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3079946041107178
+3955,3955,QSAR-TID-12406,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.2686612606048584
+3956,3956,QSAR-TID-103800,1,62,active,Sparse_ARFF,,,,0.0,1026.0,91.0,0.0,0.0,1025.0,1.0,0.3119995594024658
+3957,3957,QSAR-TID-12038,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.3702712059020996
+3958,3958,QSAR-TID-11806,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2510058879852295
+3959,3959,QSAR-TID-10062,1,62,active,Sparse_ARFF,,,,0.0,1026.0,211.0,0.0,0.0,1025.0,1.0,0.316558837890625
+3960,3960,QSAR-TID-101408,1,62,active,Sparse_ARFF,,,,0.0,1026.0,583.0,0.0,0.0,1025.0,1.0,0.38405466079711914
+3961,3961,QSAR-TID-100435,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.24659037590026855
+3962,3962,QSAR-TID-30041,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.35001540184020996
+3963,3963,QSAR-TID-243,1,62,active,Sparse_ARFF,,,,0.0,1026.0,283.0,0.0,0.0,1025.0,1.0,0.36188602447509766
+3964,3964,QSAR-TID-10620,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.43817925453186035
+3965,3965,QSAR-TID-12694,1,62,active,Sparse_ARFF,,,,0.0,1026.0,862.0,0.0,0.0,1025.0,1.0,0.6011531352996826
+3966,3966,QSAR-TID-10443,1,62,active,Sparse_ARFF,,,,0.0,1026.0,769.0,0.0,0.0,1025.0,1.0,0.4636056423187256
+3967,3967,QSAR-TID-114,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3490.0,0.0,0.0,1025.0,1.0,0.4520301818847656
+3968,3968,QSAR-TID-10197,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3058.0,0.0,0.0,1025.0,1.0,0.41696763038635254
+3969,3969,QSAR-TID-12568,1,62,active,Sparse_ARFF,,,,0.0,1026.0,340.0,0.0,0.0,1025.0,1.0,0.5861952304840088
+3970,3970,QSAR-TID-12135,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.43114447593688965
+3971,3971,QSAR-TID-10796,1,62,active,Sparse_ARFF,,,,0.0,1026.0,536.0,0.0,0.0,1025.0,1.0,0.49187183380126953
+3972,3972,QSAR-TID-130,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3133.0,0.0,0.0,1025.0,1.0,0.7119965553283691
+3973,3973,QSAR-TID-11239,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.37902379035949707
+3974,3974,QSAR-TID-100129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,513.0,0.0,0.0,1025.0,1.0,0.5940022468566895
+3975,3975,QSAR-TID-11126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2909979820251465
+3976,3976,QSAR-TID-184,1,62,active,Sparse_ARFF,,,,0.0,1026.0,224.0,0.0,0.0,1025.0,1.0,0.3390538692474365
+3977,3977,QSAR-TID-11094,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.31299901008605957
+3978,3978,QSAR-TID-10472,1,62,active,Sparse_ARFF,,,,0.0,1026.0,455.0,0.0,0.0,1025.0,1.0,0.3880326747894287
+3979,3979,QSAR-TID-10692,1,62,active,Sparse_ARFF,,,,0.0,1026.0,388.0,0.0,0.0,1025.0,1.0,0.3829665184020996
+3980,3980,QSAR-TID-12742,1,62,active,Sparse_ARFF,,,,0.0,1026.0,737.0,0.0,0.0,1025.0,1.0,0.454465389251709
+3981,3981,QSAR-TID-10183,1,62,active,Sparse_ARFF,,,,0.0,1026.0,706.0,0.0,0.0,1025.0,1.0,0.4049997329711914
+3982,3982,QSAR-TID-12171,1,62,active,Sparse_ARFF,,,,0.0,1026.0,344.0,0.0,0.0,1025.0,1.0,0.38900160789489746
+3983,3983,QSAR-TID-10545,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.2639613151550293
+3984,3984,QSAR-TID-10493,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.31201767921447754
+3985,3985,QSAR-TID-12724,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1257.0,0.0,0.0,1025.0,1.0,0.40001678466796875
+3986,3986,QSAR-TID-101434,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3903205394744873
+3987,3987,QSAR-TID-11871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,462.0,0.0,0.0,1025.0,1.0,0.5589971542358398
+3988,3988,QSAR-TID-101033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.49000096321105957
+3989,3989,QSAR-TID-101278,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.45399999618530273
+3990,3990,QSAR-TID-102826,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.29300403594970703
+3991,3991,QSAR-TID-194,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5188.0,0.0,0.0,1025.0,1.0,0.5909934043884277
+3992,3992,QSAR-TID-12104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,118.0,0.0,0.0,1025.0,1.0,0.37900710105895996
+3993,3993,QSAR-TID-10320,1,62,active,Sparse_ARFF,,,,0.0,1026.0,138.0,0.0,0.0,1025.0,1.0,0.42702746391296387
+3994,3994,QSAR-TID-10797,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.3279998302459717
+3995,3995,QSAR-TID-101073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.37096261978149414
+3996,3996,QSAR-TID-10207,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.39200472831726074
+3997,3997,QSAR-TID-51,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3356.0,0.0,0.0,1025.0,1.0,0.4829981327056885
+3998,3998,QSAR-TID-10230,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.7130014896392822
+3999,3999,QSAR-TID-11430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,614.0,0.0,0.0,1025.0,1.0,0.47699403762817383
+4000,4000,QSAR-TID-106,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1236.0,0.0,0.0,1025.0,1.0,0.46193909645080566
+4001,4001,QSAR-TID-100042,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2590336799621582
+4002,4002,QSAR-TID-102718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.2749652862548828
+4003,4003,QSAR-TID-102711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.4290330410003662
+4004,4004,QSAR-TID-100075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,145.0,0.0,0.0,1025.0,1.0,0.3979647159576416
+4005,4005,QSAR-TID-48,1,62,active,Sparse_ARFF,,,,0.0,1026.0,551.0,0.0,0.0,1025.0,1.0,0.590998649597168
+4006,4006,QSAR-TID-100995,1,62,active,Sparse_ARFF,,,,0.0,1026.0,785.0,0.0,0.0,1025.0,1.0,0.5980024337768555
+4007,4007,QSAR-TID-17147,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.35399651527404785
+4008,4008,QSAR-TID-101058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,594.0,0.0,0.0,1025.0,1.0,0.5290012359619141
+4009,4009,QSAR-TID-163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2570.0,0.0,0.0,1025.0,1.0,0.5799996852874756
+4010,4010,QSAR-TID-10426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.32352137565612793
+4011,4011,QSAR-TID-10926,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3915364742279053
+4012,4012,QSAR-TID-215,1,62,active,Sparse_ARFF,,,,0.0,1026.0,726.0,0.0,0.0,1025.0,1.0,0.4519963264465332
+4013,4013,QSAR-TID-12268,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1352.0,0.0,0.0,1025.0,1.0,0.4501004219055176
+4014,4014,QSAR-TID-103453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.5244982242584229
+4015,4015,QSAR-TID-11575,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1490.0,0.0,0.0,1025.0,1.0,0.4723358154296875
+4016,4016,QSAR-TID-12708,1,62,active,Sparse_ARFF,,,,0.0,1026.0,469.0,0.0,0.0,1025.0,1.0,0.42569684982299805
+4017,4017,QSAR-TID-11110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,969.0,0.0,0.0,1025.0,1.0,0.3699932098388672
+4018,4018,QSAR-TID-12244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24157309532165527
+4019,4019,QSAR-TID-12983,1,62,active,Sparse_ARFF,,,,0.0,1026.0,810.0,0.0,0.0,1025.0,1.0,0.4089667797088623
+4020,4020,QSAR-TID-11225,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2585.0,0.0,0.0,1025.0,1.0,0.4039955139160156
+4021,4021,QSAR-TID-100863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,350.0,0.0,0.0,1025.0,1.0,0.37200331687927246
+4022,4022,QSAR-TID-10625,1,62,active,Sparse_ARFF,,,,0.0,1026.0,40.0,0.0,0.0,1025.0,1.0,0.26099586486816406
+4023,4023,QSAR-TID-30027,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.41700100898742676
+4024,4024,QSAR-TID-10142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2872.0,0.0,0.0,1025.0,1.0,0.40199995040893555
+4025,4025,QSAR-TID-11361,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.34203505516052246
+4026,4026,QSAR-TID-17085,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1159.0,0.0,0.0,1025.0,1.0,0.38396215438842773
+4027,4027,QSAR-TID-11907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,270.0,0.0,0.0,1025.0,1.0,0.3209998607635498
+4028,4028,QSAR-TID-10277,1,62,active,Sparse_ARFF,,,,0.0,1026.0,886.0,0.0,0.0,1025.0,1.0,0.36803579330444336
+4029,4029,QSAR-TID-11296,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.3439652919769287
+4030,4030,QSAR-TID-17086,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.268841028213501
+4031,4031,QSAR-TID-10402,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.2859940528869629
+4032,4032,QSAR-TID-101504,1,62,active,Sparse_ARFF,,,,0.0,1026.0,99.0,0.0,0.0,1025.0,1.0,0.3590049743652344
+4033,4033,QSAR-TID-30047,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.377971887588501
+4034,4034,QSAR-TID-11054,1,62,active,Sparse_ARFF,,,,0.0,1026.0,344.0,0.0,0.0,1025.0,1.0,0.33603358268737793
+4035,4035,QSAR-TID-11499,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.22999358177185059
+4036,4036,QSAR-TID-11064,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.257004976272583
+4037,4037,QSAR-TID-11286,1,62,active,Sparse_ARFF,,,,0.0,1026.0,297.0,0.0,0.0,1025.0,1.0,0.3323183059692383
+4038,4038,QSAR-TID-17024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,373.0,0.0,0.0,1025.0,1.0,0.34000611305236816
+4039,4039,QSAR-TID-30014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,987.0,0.0,0.0,1025.0,1.0,0.3809940814971924
+4040,4040,QSAR-TID-20162,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.31890320777893066
+4041,4041,QSAR-TID-100097,1,62,active,Sparse_ARFF,,,,0.0,1026.0,894.0,0.0,0.0,1025.0,1.0,0.3670368194580078
+4042,4042,QSAR-TID-12536,1,62,active,Sparse_ARFF,,,,0.0,1026.0,202.0,0.0,0.0,1025.0,1.0,0.34496164321899414
+4043,4043,QSAR-TID-103458,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.3299999237060547
+4044,4044,QSAR-TID-100862,1,62,active,Sparse_ARFF,,,,0.0,1026.0,177.0,0.0,0.0,1025.0,1.0,0.30500197410583496
+4045,4045,QSAR-TID-259,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4332.0,0.0,0.0,1025.0,1.0,0.42380690574645996
+4046,4046,QSAR-TID-12955,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.3500244617462158
+4047,4047,QSAR-TID-101225,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.345888614654541
+4048,4048,QSAR-TID-11727,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1174.0,0.0,0.0,1025.0,1.0,0.3869946002960205
+4049,4049,QSAR-TID-282,1,62,active,Sparse_ARFF,,,,0.0,1026.0,479.0,0.0,0.0,1025.0,1.0,0.3640015125274658
+4050,4050,QSAR-TID-218,1,62,active,Sparse_ARFF,,,,0.0,1026.0,613.0,0.0,0.0,1025.0,1.0,0.3829646110534668
+4051,4051,QSAR-TID-11379,1,62,active,Sparse_ARFF,,,,0.0,1026.0,429.0,0.0,0.0,1025.0,1.0,0.354032039642334
+4052,4052,QSAR-TID-10264,1,62,active,Sparse_ARFF,,,,0.0,1026.0,146.0,0.0,0.0,1025.0,1.0,0.38599538803100586
+4053,4053,QSAR-TID-30009,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.3689713478088379
+4054,4054,QSAR-TID-11168,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.27402687072753906
+4055,4055,QSAR-TID-10654,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.32752227783203125
+4056,4056,QSAR-TID-277,1,62,active,Sparse_ARFF,,,,0.0,1026.0,133.0,0.0,0.0,1025.0,1.0,0.3119990825653076
+4057,4057,QSAR-TID-10547,1,62,active,Sparse_ARFF,,,,0.0,1026.0,622.0,0.0,0.0,1025.0,1.0,0.38599634170532227
+4058,4058,QSAR-TID-11634,1,62,active,Sparse_ARFF,,,,0.0,1026.0,569.0,0.0,0.0,1025.0,1.0,0.35401487350463867
+4059,4059,QSAR-TID-10364,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3359978199005127
+4060,4060,QSAR-TID-11602,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.259749174118042
+4061,4061,QSAR-TID-11287,1,62,active,Sparse_ARFF,,,,0.0,1026.0,100.0,0.0,0.0,1025.0,1.0,0.3309614658355713
+4062,4062,QSAR-TID-10844,1,62,active,Sparse_ARFF,,,,0.0,1026.0,166.0,0.0,0.0,1025.0,1.0,0.3715832233428955
+4063,4063,QSAR-TID-245,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.21797943115234375
+4064,4064,QSAR-TID-10695,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1292.0,0.0,0.0,1025.0,1.0,0.3769998550415039
+4065,4065,QSAR-TID-100907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36051487922668457
+4066,4066,QSAR-TID-10528,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.27503013610839844
+4067,4067,QSAR-TID-11066,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.23958826065063477
+4068,4068,QSAR-TID-100990,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3659999370574951
+4069,4069,QSAR-TID-101180,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.33499932289123535
+4070,4070,QSAR-TID-100796,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2612006664276123
+4071,4071,QSAR-TID-10950,1,62,active,Sparse_ARFF,,,,0.0,1026.0,889.0,0.0,0.0,1025.0,1.0,0.3609936237335205
+4072,4072,QSAR-TID-30030,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36200475692749023
+4073,4073,QSAR-TID-17023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.2979736328125
+4074,4074,QSAR-TID-11891,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.31499385833740234
+4075,4075,QSAR-TID-10434,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3650.0,0.0,0.0,1025.0,1.0,0.5215322971343994
+4076,4076,QSAR-TID-10773,1,62,active,Sparse_ARFF,,,,0.0,1026.0,525.0,0.0,0.0,1025.0,1.0,0.5079965591430664
+4077,4077,QSAR-TID-11261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,748.0,0.0,0.0,1025.0,1.0,0.47100377082824707
+4078,4078,QSAR-TID-12699,1,62,active,Sparse_ARFF,,,,0.0,1026.0,789.0,0.0,0.0,1025.0,1.0,0.46703195571899414
+4079,4079,QSAR-TID-103106,1,62,active,Sparse_ARFF,,,,0.0,1026.0,664.0,0.0,0.0,1025.0,1.0,0.5859487056732178
+4080,4080,QSAR-TID-11636,1,62,active,Sparse_ARFF,,,,0.0,1026.0,411.0,0.0,0.0,1025.0,1.0,0.38899660110473633
+4081,4081,QSAR-TID-100949,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.4100310802459717
+4082,4082,QSAR-TID-12173,1,62,active,Sparse_ARFF,,,,0.0,1026.0,114.0,0.0,0.0,1025.0,1.0,0.3101942539215088
+4083,4083,QSAR-TID-103037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.27898216247558594
+4084,4084,QSAR-TID-10396,1,62,active,Sparse_ARFF,,,,0.0,1026.0,662.0,0.0,0.0,1025.0,1.0,0.3924379348754883
+4085,4085,QSAR-TID-10967,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.4547088146209717
+4086,4086,QSAR-TID-12264,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.27483320236206055
+4087,4087,QSAR-TID-101226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.38506460189819336
+4088,4088,QSAR-TID-30036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1116.0,0.0,0.0,1025.0,1.0,0.4220280647277832
+4089,4089,QSAR-TID-101211,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3739199638366699
+4090,4090,QSAR-TID-18046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,337.0,0.0,0.0,1025.0,1.0,0.38782477378845215
+4091,4091,QSAR-TID-10647,1,62,active,Sparse_ARFF,,,,0.0,1026.0,890.0,0.0,0.0,1025.0,1.0,0.4250345230102539
+4092,4092,QSAR-TID-100914,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3920328617095947
+4093,4093,QSAR-TID-100909,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3899219036102295
+4094,4094,QSAR-TID-20105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.35784173011779785
+4095,4095,QSAR-TID-10355,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.23403573036193848
+4096,4096,QSAR-TID-30028,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.36444091796875
+4097,4097,QSAR-TID-101069,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3730297088623047
+4098,4098,QSAR-TID-102849,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.27395081520080566
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+41728,41728,FOREX_cadjpy-minute-High,1,1,active,arff,201286.0,2.0,174554.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899336814880371
+41729,41729,FOREX_chfjpy-minute-Close,1,1,active,arff,192834.0,2.0,183006.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03097224235534668
+41730,41730,FOREX_usdchf-day-High,1,1,active,arff,919.0,2.0,916.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.026997804641723633
+41731,41731,FOREX_eursek-day-High,1,1,active,arff,946.0,2.0,891.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41732,41732,FOREX_usdjpy-minute-Close,1,1,active,arff,196755.0,2.0,179085.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.0280001163482666
+41733,41733,FOREX_eurhkd-day-High,1,1,active,arff,960.0,2.0,872.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.024998903274536133
+41734,41734,FOREX_eurpln-hour-Close,1,1,active,arff,22174.0,2.0,21651.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02900075912475586
+41735,41735,FOREX_eurcad-minute-Close,1,1,active,arff,190902.0,2.0,184938.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026001930236816406
+41736,41736,FOREX_eurhuf-hour-Close,1,1,active,arff,26622.0,2.0,17203.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.028998613357543945
+41737,41737,FOREX_audusd-day-Close,1,1,active,arff,922.0,2.0,912.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.038002967834472656
+41738,41738,FOREX_chfsgd-minute-High,1,1,active,arff,200426.0,2.0,175414.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029002904891967773
+41739,41739,FOREX_eurhkd-hour-High,1,1,active,arff,23386.0,2.0,20439.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02889394760131836
+41740,41740,FOREX_audchf-day-Close,1,1,active,arff,925.0,2.0,908.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.029529094696044922
+41741,41741,FOREX_eursgd-minute-High,1,1,active,arff,198468.0,2.0,177372.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02688765525817871
+41742,41742,FOREX_eurgbp-hour-High,1,1,active,arff,23024.0,2.0,20801.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03002619743347168
+41743,41743,FOREX_eurpln-minute-Close,1,1,active,arff,211424.0,2.0,164416.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.030003070831298828
+41744,41744,FOREX_eurrub-day-High,1,1,active,arff,944.0,2.0,888.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027968645095825195
+41745,41745,FOREX_chfjpy-minute-High,1,1,active,arff,200138.0,2.0,175702.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41746,41746,FOREX_cadchf-day-High,1,1,active,arff,945.0,2.0,886.0,2.0,12.0,1831.0,0.0,0.0,11.0,1.0,0.02699899673461914
+41747,41747,FOREX_audnzd-minute-Close,1,1,active,arff,192862.0,2.0,182978.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028999805450439453
+41748,41748,FOREX_usddkk-minute-Close,1,1,active,arff,191331.0,2.0,184509.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02800130844116211
+41749,41749,FOREX_gbpusd-minute-High,1,1,active,arff,204880.0,2.0,170960.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027998924255371094
+41750,41750,FOREX_eurhuf-day-Close,1,1,active,arff,929.0,2.0,905.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026018619537353516
+41751,41751,FOREX_eurnok-minute-Close,1,1,active,arff,198803.0,2.0,177037.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02898097038269043
+41752,41752,FOREX_eurjpy-minute-Close,1,1,active,arff,191775.0,2.0,184065.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026000499725341797
+41753,41753,FOREX_usdcad-day-High,1,1,active,arff,921.0,2.0,912.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.026001691818237305
+41754,41754,FOREX_eurjpy-day-Close,1,1,active,arff,936.0,2.0,896.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0279996395111084
+41755,41755,FOREX_cadchf-minute-Close,1,1,active,arff,195380.0,2.0,180460.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.036002397537231445
+41756,41756,FOREX_audsgd-day-High,1,1,active,arff,930.0,2.0,902.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.04218268394470215
+41757,41757,FOREX_usdchf-minute-Close,1,1,active,arff,197528.0,2.0,178312.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.04398775100708008
+41758,41758,FOREX_eursgd-hour-Close,1,1,active,arff,22080.0,2.0,21745.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.036818742752075195
+41759,41759,FOREX_eurtry-hour-High,1,1,active,arff,22856.0,2.0,20969.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.04000520706176758
+41760,41760,FOREX_eurhuf-day-High,1,1,active,arff,953.0,2.0,881.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.03064441680908203
+41761,41761,FOREX_eursek-minute-Close,1,1,active,arff,197356.0,2.0,178484.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03603196144104004
+41762,41762,FOREX_audsgd-hour-Close,1,1,active,arff,22091.0,2.0,21734.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03398561477661133
+41763,41763,FOREX_audcad-hour-High,1,1,active,arff,22556.0,2.0,21269.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.031013011932373047
+41764,41764,FOREX_gbpusd-day-High,1,1,active,arff,937.0,2.0,897.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.025998830795288086
+41765,41765,FOREX_eurtry-day-Close,1,1,active,arff,935.0,2.0,897.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0280001163482666
+41766,41766,FOREX_eurgbp-day-High,1,1,active,arff,938.0,2.0,897.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.028014183044433594
+41767,41767,FOREX_cadjpy-hour-Close,1,1,active,arff,22035.0,2.0,21790.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700042724609375
+41768,41768,FOREX_eurnok-hour-High,1,1,active,arff,23048.0,2.0,20777.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
+41769,41769,FOREX_audcad-day-Close,1,1,active,arff,935.0,2.0,899.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.0279998779296875
+41770,41770,FOREX_audjpy-minute-High,1,1,active,arff,202222.0,2.0,173618.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02606344223022461
+41771,41771,FOREX_eurtry-minute-Close,1,1,active,arff,200399.0,2.0,175441.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027936935424804688
+41772,41772,FOREX_audchf-minute-High,1,1,active,arff,200975.0,2.0,174865.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41773,41773,FOREX_eurtry-hour-Close,1,1,active,arff,22193.0,2.0,21632.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03000164031982422
+41774,41774,FOREX_eurhuf-minute-High,1,1,active,arff,276139.0,2.0,99701.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03903532028198242
+41775,41775,FOREX_usdcad-minute-Close,1,1,active,arff,193327.0,2.0,182513.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.042967796325683594
+41776,41776,FOREX_eurhkd-minute-Close,1,1,active,arff,191557.0,2.0,184283.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03803873062133789
+41777,41777,FOREX_eurjpy-hour-High,1,1,active,arff,22982.0,2.0,20843.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03905153274536133
+41778,41778,FOREX_eurdkk-minute-High,1,1,active,arff,244742.0,2.0,131098.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03707528114318848
+41779,41779,FOREX_eursek-hour-High,1,1,active,arff,22632.0,2.0,21193.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280759334564209
+41780,41780,FOREX_usdchf-hour-High,1,1,active,arff,22656.0,2.0,21169.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029967546463012695
+41781,41781,FOREX_audcad-hour-Close,1,1,active,arff,21995.0,2.0,21830.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.025998592376708984
+41782,41782,FOREX_usdjpy-hour-Close,1,1,active,arff,22363.0,2.0,21462.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029046058654785156
+41783,41783,FOREX_eurdkk-day-Close,1,1,active,arff,956.0,2.0,880.0,2.0,12.0,1836.0,0.0,0.0,11.0,1.0,0.02700018882751465
+41784,41784,FOREX_gbpusd-day-Close,1,1,active,arff,932.0,2.0,902.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026000261306762695
+41785,41785,FOREX_eurtry-day-High,1,1,active,arff,932.0,2.0,900.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02600383758544922
+41786,41786,FOREX_eurgbp-minute-Close,1,1,active,arff,194179.0,2.0,181661.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028001785278320312
+41787,41787,FOREX_eurpln-hour-High,1,1,active,arff,23298.0,2.0,20527.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.028994321823120117
+41788,41788,FOREX_audnzd-day-High,1,1,active,arff,1003.0,2.0,829.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.028031349182128906
+41789,41789,FOREX_eurnzd-minute-High,1,1,active,arff,196400.0,2.0,179440.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02701115608215332
+41790,41790,FOREX_cadjpy-day-Close,1,1,active,arff,923.0,2.0,911.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026035308837890625
+41791,41791,FOREX_eurusd-day-Close,1,1,active,arff,926.0,2.0,911.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.025964975357055664
+41792,41792,FOREX_usdchf-hour-Close,1,1,active,arff,22068.0,2.0,21757.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02699875831604004
+41793,41793,FOREX_eurjpy-minute-High,1,1,active,arff,200986.0,2.0,174854.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027046918869018555
+41794,41794,FOREX_nzdusd-minute-Close,1,1,active,arff,197006.0,2.0,178834.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027003765106201172
+41795,41795,FOREX_gbpusd-minute-Close,1,1,active,arff,194132.0,2.0,181708.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02802729606628418
+41796,41796,FOREX_eurrub-minute-Close,1,1,active,arff,267817.0,2.0,108023.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026985645294189453
+41797,41797,FOREX_usdjpy-day-High,1,1,active,arff,921.0,2.0,914.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.02903270721435547
+41798,41798,FOREX_usdcad-minute-High,1,1,active,arff,203805.0,2.0,172035.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03806304931640625
+41799,41799,FOREX_eurhkd-hour-Close,1,1,active,arff,22076.0,2.0,21749.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03711724281311035
+41800,41800,FOREX_cadjpy-minute-Close,1,1,active,arff,192911.0,2.0,182929.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.04100203514099121
+41801,41801,FOREX_eursgd-day-High,1,1,active,arff,950.0,2.0,882.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03999924659729004
+41802,41802,FOREX_audcad-minute-High,1,1,active,arff,198576.0,2.0,177264.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03852200508117676
+41803,41803,FOREX_eurchf-day-High,1,1,active,arff,978.0,2.0,855.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.03655552864074707
+41804,41804,FOREX_gbpusd-hour-Close,1,1,active,arff,22109.0,2.0,21716.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.030524253845214844
+41805,41805,FOREX_eurrub-hour-High,1,1,active,arff,30833.0,2.0,12992.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029558897018432617
+41806,41806,FOREX_audjpy-hour-Close,1,1,active,arff,22213.0,2.0,21612.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03000044822692871
+41807,41807,FOREX_nzdusd-minute-High,1,1,active,arff,208036.0,2.0,167804.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029013395309448242
+41808,41808,FOREX_eurgbp-minute-High,1,1,active,arff,202133.0,2.0,173707.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029986143112182617
+41809,41809,FOREX_audusd-minute-High,1,1,active,arff,207224.0,2.0,168616.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029000043869018555
+41810,41810,FOREX_audchf-minute-Close,1,1,active,arff,193638.0,2.0,182202.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028999805450439453
+41811,41811,FOREX_cadchf-day-Close,1,1,active,arff,949.0,2.0,882.0,2.0,12.0,1831.0,0.0,0.0,11.0,1.0,0.027998924255371094
+41812,41812,FOREX_eurnok-day-Close,1,1,active,arff,921.0,2.0,916.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.028002023696899414
+41813,41813,FOREX_audsgd-minute-Close,1,1,active,arff,197295.0,2.0,178545.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899932861328125
+41814,41814,FOREX_euraud-minute-Close,1,1,active,arff,191301.0,2.0,184539.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029999256134033203
+41815,41815,FOREX_eurrub-day-Close,1,1,active,arff,918.0,2.0,914.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02700328826904297
+41816,41816,FOREX_usddkk-hour-High,1,1,active,arff,23306.0,2.0,20519.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029032468795776367
+41817,41817,FOREX_audusd-minute-Close,1,1,active,arff,195610.0,2.0,180230.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02696537971496582
+41818,41818,FOREX_euraud-day-Close,1,1,active,arff,946.0,2.0,888.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026999235153198242
+41819,41819,FOREX_eurrub-minute-High,1,1,active,arff,270976.0,2.0,104864.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026000261306762695
+41820,41820,FOREX_chfsgd-hour-High,1,1,active,arff,22965.0,2.0,20860.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999950408935547
+41821,41821,FOREX_eurpln-day-Close,1,1,active,arff,935.0,2.0,897.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025999069213867188
+41822,41822,FOREX_audnzd-minute-High,1,1,active,arff,199430.0,2.0,176410.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700209617614746
+41823,41823,FOREX_eurcad-minute-High,1,1,active,arff,197225.0,2.0,178615.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.025998353958129883
+41824,41824,FOREX_eurgbp-hour-Close,1,1,active,arff,22040.0,2.0,21785.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41825,41825,FOREX_audnzd-hour-High,1,1,active,arff,22702.0,2.0,21123.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029999971389770508
+41826,41826,FOREX_eurnzd-day-Close,1,1,active,arff,955.0,2.0,877.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027001142501831055
+41827,41827,FOREX_euraud-hour-Close,1,1,active,arff,22133.0,2.0,21692.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02799820899963379
+41828,41828,FOREX_usdcad-hour-High,1,1,active,arff,22732.0,2.0,21093.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026036500930786133
+41829,41829,FOREX_nzdusd-day-Close,1,1,active,arff,939.0,2.0,889.0,2.0,12.0,1828.0,0.0,0.0,11.0,1.0,0.026999950408935547
+41830,41830,FOREX_nzdusd-day-High,1,1,active,arff,939.0,2.0,889.0,2.0,12.0,1828.0,0.0,0.0,11.0,1.0,0.025963783264160156
+41831,41831,FOREX_eurdkk-hour-Close,1,1,active,arff,23031.0,2.0,20794.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280001163482666
+41832,41832,FOREX_nzdusd-hour-Close,1,1,active,arff,22110.0,2.0,21715.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
+41833,41833,FOREX_cadjpy-hour-High,1,1,active,arff,22693.0,2.0,21132.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280001163482666
+41834,41834,FOREX_usdcad-day-Close,1,1,active,arff,960.0,2.0,873.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.02700042724609375
+41835,41835,FOREX_euraud-hour-High,1,1,active,arff,22869.0,2.0,20956.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03300213813781738
+41836,41836,FOREX_cadchf-minute-High,1,1,active,arff,201076.0,2.0,174764.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.039530277252197266
+41837,41837,FOREX_audjpy-minute-Close,1,1,active,arff,193109.0,2.0,182731.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03762650489807129
+41838,41838,FOREX_cadchf-hour-Close,1,1,active,arff,21919.0,2.0,21906.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0460362434387207
+41839,41839,FOREX_cadjpy-day-High,1,1,active,arff,920.0,2.0,914.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.03597593307495117
+41840,41840,FOREX_eurnok-minute-High,1,1,active,arff,205831.0,2.0,170009.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03500223159790039
+41841,41841,FOREX_chfsgd-day-Close,1,1,active,arff,933.0,2.0,899.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02901005744934082
+41842,41842,FOREX_eurchf-hour-High,1,1,active,arff,22452.0,2.0,21373.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02698659896850586
+41843,41843,FOREX_audusd-hour-High,1,1,active,arff,23210.0,2.0,20615.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.031000137329101562
+41844,41844,FOREX_eurgbp-day-Close,1,1,active,arff,935.0,2.0,900.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.025999069213867188
+41845,41845,FOREX_eurusd-minute-High,1,1,active,arff,206541.0,2.0,169299.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000593185424805
+41846,41846,FOREX_eursek-day-Close,1,1,active,arff,925.0,2.0,912.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.025002717971801758
+41847,41847,FOREX_eurdkk-day-High,1,1,active,arff,939.0,2.0,897.0,2.0,12.0,1836.0,0.0,0.0,11.0,1.0,0.02699756622314453
+41848,41848,FOREX_chfjpy-day-High,1,1,active,arff,936.0,2.0,896.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025999784469604492
+41849,41849,FOREX_audsgd-day-Close,1,1,active,arff,923.0,2.0,909.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027999401092529297
+41850,41850,FOREX_eursek-minute-High,1,1,active,arff,205497.0,2.0,170343.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700018882751465
+41851,41851,FOREX_usdjpy-hour-High,1,1,active,arff,23367.0,2.0,20458.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0279996395111084
+41852,41852,FOREX_eurchf-minute-High,1,1,active,arff,203153.0,2.0,172687.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02800297737121582
+41853,41853,FOREX_eurnzd-minute-Close,1,1,active,arff,191269.0,2.0,184571.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899765968322754
+41854,41854,FOREX_audcad-minute-Close,1,1,active,arff,192180.0,2.0,183660.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000831604003906
+41855,41855,FOREX_eurtry-minute-High,1,1,active,arff,208967.0,2.0,166873.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027034282684326172
+41856,41856,FOREX_eurdkk-hour-High,1,1,active,arff,23910.0,2.0,19915.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027964353561401367
+41857,41857,FOREX_audjpy-day-Close,1,1,active,arff,957.0,2.0,875.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.026999235153198242
+41858,41858,FOREX_usdchf-day-Close,1,1,active,arff,951.0,2.0,884.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.0260009765625
+41859,41859,FOREX_eurnok-hour-Close,1,1,active,arff,22018.0,2.0,21807.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027000904083251953
+41860,41860,FOREX_eurusd-hour-Close,1,1,active,arff,22071.0,2.0,21754.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
+41861,41861,FOREX_euraud-minute-High,1,1,active,arff,197195.0,2.0,178645.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027000904083251953
+41862,41862,FOREX_eurrub-hour-Close,1,1,active,arff,30334.0,2.0,13491.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026997804641723633
+41863,41863,FOREX_eurnok-day-High,1,1,active,arff,950.0,2.0,887.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.0260009765625
+41864,41864,FOREX_chfsgd-day-High,1,1,active,arff,999.0,2.0,833.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02499985694885254
+41865,41865,FOREX_audsgd-hour-High,1,1,active,arff,22558.0,2.0,21267.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700018882751465
+41866,41866,FOREX_euraud-day-High,1,1,active,arff,934.0,2.0,900.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026003122329711914
+41867,41867,FOREX_audnzd-day-Close,1,1,active,arff,950.0,2.0,882.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03299665451049805
+41868,41868,FOREX_eurpln-day-High,1,1,active,arff,969.0,2.0,863.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03499937057495117
+41869,41869,FOREX_eursgd-minute-Close,1,1,active,arff,191724.0,2.0,184116.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03849649429321289
+41870,41870,FOREX_chfjpy-hour-Close,1,1,active,arff,21996.0,2.0,21829.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.040500640869140625
+41871,41871,FOREX_usddkk-hour-Close,1,1,active,arff,22050.0,2.0,21775.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03400611877441406
+41872,41872,FOREX_eurhkd-day-Close,1,1,active,arff,917.0,2.0,915.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0269930362701416
+41873,41873,FOREX_eurusd-hour-High,1,1,active,arff,23523.0,2.0,20302.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03099989891052246
+41874,41874,FOREX_eursgd-day-Close,1,1,active,arff,924.0,2.0,908.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025000572204589844
+41875,41875,FOREX_audchf-day-High,1,1,active,arff,929.0,2.0,904.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.0279998779296875
+41876,41876,FOREX_eurdkk-minute-Close,1,1,active,arff,273731.0,2.0,102109.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026998043060302734
+41877,41877,FOREX_eurchf-hour-Close,1,1,active,arff,22003.0,2.0,21822.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027001380920410156
+41878,41878,FOREX_audusd-hour-Close,1,1,active,arff,22098.0,2.0,21727.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999473571777344
+41879,41879,FOREX_gbpusd-hour-High,1,1,active,arff,23312.0,2.0,20513.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700972557067871
+41880,41880,FOREX_chfsgd-minute-Close,1,1,active,arff,195885.0,2.0,179955.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026990175247192383
+41881,41881,FOREX_chfjpy-hour-High,1,1,active,arff,22854.0,2.0,20971.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02703571319580078
+41882,41882,FOREX_audjpy-day-High,1,1,active,arff,941.0,2.0,891.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027964353561401367
+41883,41883,FOREX_eurnzd-hour-High,1,1,active,arff,22999.0,2.0,20826.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700042724609375
+41884,41884,FOREX_nzdusd-hour-High,1,1,active,arff,23184.0,2.0,20641.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02899932861328125
+41885,41885,FOREX_chfsgd-hour-Close,1,1,active,arff,22278.0,2.0,21547.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41886,41886,FOREX_eurnzd-hour-Close,1,1,active,arff,22350.0,2.0,21475.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999235153198242
+41887,41887,FOREX_audsgd-minute-High,1,1,active,arff,202700.0,2.0,173140.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
+41888,41888,FOREX_audchf-hour-Close,1,1,active,arff,21916.0,2.0,21909.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02703690528869629
+41889,41889,FOREX_eurjpy-hour-Close,1,1,active,arff,22103.0,2.0,21722.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0269620418548584
+41890,41890,FOREX_usddkk-minute-High,1,1,active,arff,200928.0,2.0,174912.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.025999784469604492
+41891,41891,FOREX_eurcad-hour-Close,1,1,active,arff,21914.0,2.0,21911.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0260009765625
+41892,41892,FOREX_usdchf-minute-High,1,1,active,arff,207306.0,2.0,168534.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000354766845703
+41893,41893,FOREX_eursgd-hour-High,1,1,active,arff,22665.0,2.0,21160.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999711990356445
+41894,41894,FOREX_eurchf-day-Close,1,1,active,arff,952.0,2.0,881.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.025999784469604492
+41895,41895,FOREX_eurhuf-minute-Close,1,1,active,arff,273138.0,2.0,102702.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.030037879943847656
+41896,41896,FOREX_eursek-hour-Close,1,1,active,arff,22043.0,2.0,21782.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027961254119873047
+41897,41897,FOREX_usddkk-day-Close,1,1,active,arff,916.0,2.0,916.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.028000593185424805
+41898,41898,FOREX_audnzd-hour-Close,1,1,active,arff,22275.0,2.0,21550.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999950408935547
+41899,41899,MultilingualDS,1,8876,active,ARFF,,,,,3.0,65428.0,0.0,0.0,0.0,0.0,0.03600573539733887
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+41928,41928,CPMP-2015-runtime-regression,1,8316,active,ARFF,,4.0,,0.0,24.0,2108.0,0.0,0.0,23.0,1.0,0.06232619285583496
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+41939,41939,MIP-2016-PAR10-classification,1,8316,active,ARFF,84.0,5.0,1.0,5.0,144.0,218.0,0.0,0.0,143.0,1.0,0.054033756256103516
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diff --git a/testing_feather.py b/testing_feather.py
index 82cc0bad8..06e8dfcd5 100644
--- a/testing_feather.py
+++ b/testing_feather.py
@@ -1,16 +1,31 @@
 from openml import datasets
 import time
-import  pandas as pd
-list_datasets = datasets.list_datasets(output_format="dataframe")
-first_time = []
-ids = list_datasets
-for did in ids['did']:
-    start = time.time()
-    data = datasets.get_dataset(did)
-    data.get_data()
-    end = time.time()
-    first_time.append(end-start)
+import pandas as pd
 
 pd.set_option("display.max_colwidth", -1)
-ids["first_time"] = first_time
-ids.to_pickle("list.pkl")
\ No newline at end of file
+def run_get(filename):
+    list_datasets = datasets.list_datasets(output_format="dataframe")
+    first_time = []
+    ids = list_datasets
+    for did in ids['did']:
+        start = time.time()
+        try:
+            data = datasets.get_dataset(did)
+            data.get_data()
+        except:
+            pass
+        end = time.time()
+        first_time.append(end-start)
+
+
+    ids["first_time"] = first_time
+    ids.to_pickle(filename)
+
+#run_get("list_second.pkl")
+df1 = pd.read_pickle("list.pkl")
+df2 = pd.read_pickle("list_second.pkl")
+print(len(df1), len(df2))
+compare = df1["first_time"] < df2["first_time"]
+print(compare[compare].index)
+df1.to_csv('df1.csv')
+df2.to_csv('df2.csv')
\ No newline at end of file

From 3c513b074bd6d07e2acfbfc4d3658368e07e0283 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 11:00:55 +0100
Subject: [PATCH 08/37] get_dataset add cache format

---
 openml/datasets/dataset.py   | 6 ++++--
 openml/datasets/functions.py | 7 +++++--
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 9b8bda1ea..281026d67 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -100,7 +100,8 @@ class OpenMLDataset(OpenMLBase):
         Serialized arff dataset string.
     """
     def __init__(self, name, description, format=None,
-                 data_format='arff', dataset_id=None, version=None,
+                 data_format='arff', cache_format='feather',
+                 dataset_id=None, version=None,
                  creator=None, contributor=None, collection_date=None,
                  upload_date=None, language=None, licence=None,
                  url=None, default_target_attribute=None,
@@ -128,6 +129,7 @@ def __init__(self, name, description, format=None,
         self.name = name
         self.version = int(version) if version is not None else None
         self.description = description
+        self.cache_format = cache_format
         if format is None:
             self.format = data_format
         else:
@@ -436,7 +438,7 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
-        if type(X) != scipy.sparse.csr.csr_matrix and X.shape[1] <= 1000:
+        if self.cache_format == "feather": #type(X) != scipy.sparse.csr.csr_matrix and X.shape[1] <= 1000:
             print("feather write")
             feather.write_feather(X, data_feather_file)
             with open(data_pickle_file, "wb") as fh:
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index 657fbc7c6..dbee9e7d2 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -451,7 +451,8 @@ def get_dataset(
     dataset_id: Union[int, str],
     download_data: bool = True,
     version: int = None,
-    error_if_multiple: bool = False
+    error_if_multiple: bool = False,
+    cache_format: str = 'feather'
 ) -> OpenMLDataset:
     """ Download the OpenML dataset representation, optionally also download actual data file.
 
@@ -527,7 +528,7 @@ def get_dataset(
                                      did_cache_dir)
 
     dataset = _create_dataset_from_description(
-        description, features, qualities, arff_file
+        description, features, qualities, arff_file, cache_format
     )
     return dataset
 
@@ -975,6 +976,7 @@ def _create_dataset_from_description(
         features: Dict,
         qualities: List,
         arff_file: str = None,
+        cache_format: str = 'feather'
 ) -> OpenMLDataset:
     """Create a dataset object from a description dict.
 
@@ -1019,6 +1021,7 @@ def _create_dataset_from_description(
         update_comment=description.get("oml:update_comment"),
         md5_checksum=description.get("oml:md5_checksum"),
         data_file=arff_file,
+        cache_format=cache_format,
         features=features,
         qualities=qualities,
     )

From 0b3d78143633e92814aef7e22cefab43bc4debae Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 11:20:01 +0100
Subject: [PATCH 09/37] add pyarrow

---
 setup.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index 46e4ae8b2..ad022d129 100644
--- a/setup.py
+++ b/setup.py
@@ -51,7 +51,8 @@
                      'python-dateutil',  # Installed through pandas anyway.
                      'pandas>=0.19.2',
                      'scipy>=0.13.3',
-                     'numpy>=1.6.2'
+                     'numpy>=1.6.2',
+                     'pyarrow>=0.15.1'
                  ],
                  extras_require={
                      'test': [

From a9becf1959add5b319ee294be2f0db58b369d77b Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 11:32:46 +0100
Subject: [PATCH 10/37] sparse matrix check

---
 openml/datasets/dataset.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 281026d67..8618907f1 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -438,7 +438,7 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
-        if self.cache_format == "feather": #type(X) != scipy.sparse.csr.csr_matrix and X.shape[1] <= 1000:
+        if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix: # and X.shape[1] <= 1000:
             print("feather write")
             feather.write_feather(X, data_feather_file)
             with open(data_pickle_file, "wb") as fh:

From aff8aff29fd75cc38da266ff426a4c56655af8cf Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 14:01:26 +0100
Subject: [PATCH 11/37] pep8 and remove files

---
 df1.csv                    |  2963 ------
 df2.csv                    |  2963 ------
 df_feather.pkl             |   Bin 10432 -> 0 bytes
 openml/datasets/dataset.py |     5 +-
 test_arrow.ipynb           | 17817 -----------------------------------
 testing_feather.py         |    31 -
 6 files changed, 3 insertions(+), 23776 deletions(-)
 delete mode 100644 df1.csv
 delete mode 100644 df2.csv
 delete mode 100644 df_feather.pkl
 delete mode 100644 test_arrow.ipynb
 delete mode 100644 testing_feather.py

diff --git a/df1.csv b/df1.csv
deleted file mode 100644
index ccf2654b3..000000000
--- a/df1.csv
+++ /dev/null
@@ -1,2963 +0,0 @@
-,did,name,version,uploader,status,format,MajorityClassSize,MaxNominalAttDistinctValues,MinorityClassSize,NumberOfClasses,NumberOfFeatures,NumberOfInstances,NumberOfInstancesWithMissingValues,NumberOfMissingValues,NumberOfNumericFeatures,NumberOfSymbolicFeatures,first_time,first_time_1,OUT
-2,2,anneal,1,1,active,ARFF,684,7,8,5,39,898,898,22175,6,33,0.275992155,0.061997652,FALSE
-3,3,kr-vs-kp,1,1,active,ARFF,1669,3,1527,2,37,3196,0,0,0,37,0.577017546,0.060230494,FALSE
-4,4,labor,1,1,active,ARFF,37,3,20,2,17,57,56,326,8,9,0.229769468,0.042788982,FALSE
-5,5,arrhythmia,1,1,active,ARFF,245,13,2,13,280,452,384,408,206,74,0.556983948,0.088999271,FALSE
-6,6,letter,1,1,active,ARFF,813,26,734,26,17,20000,0,0,16,1,0.666501522,0.047998428,FALSE
-7,7,audiology,1,1,active,ARFF,57,24,1,24,70,226,222,317,0,70,0.298026562,0.074006796,FALSE
-8,8,liver-disorders,1,1,active,ARFF,,,,0,6,345,0,0,6,0,0.187961102,0.038929701,FALSE
-9,9,autos,1,1,active,ARFF,67,22,3,6,26,205,46,59,15,11,0.222993135,0.045996666,FALSE
-10,10,lymph,1,1,active,ARFF,81,8,2,4,19,148,0,0,3,16,0.224993467,0.048008919,FALSE
-11,11,balance-scale,1,1,active,ARFF,288,3,49,3,5,625,0,0,4,1,0.198994875,0.03700304,FALSE
-12,12,mfeat-factors,1,1,active,ARFF,200,10,200,10,217,2000,0,0,216,1,0.916517735,0.07000041,FALSE
-13,13,breast-cancer,1,1,active,ARFF,201,11,85,2,10,286,9,9,0,10,0.216099262,0.045737982,FALSE
-14,14,mfeat-fourier,1,1,active,ARFF,200,10,200,10,77,2000,0,0,76,1,0.568304777,0.075999737,FALSE
-15,15,breast-w,1,1,active,ARFF,458,2,241,2,10,699,16,16,9,1,0.19796133,0.050970078,FALSE
-16,16,mfeat-karhunen,1,1,active,ARFF,200,10,200,10,65,2000,0,0,64,1,0.494644165,0.071006298,FALSE
-18,18,mfeat-morphological,1,1,active,ARFF,200,10,200,10,7,2000,0,0,6,1,0.271068811,0.042988539,FALSE
-20,20,mfeat-pixel,1,1,active,ARFF,200,10,200,10,241,2000,0,0,0,241,1.026359558,0.182033777,FALSE
-22,22,mfeat-zernike,1,1,active,ARFF,200,10,200,10,48,2000,0,0,47,1,0.379081011,0.055970669,FALSE
-23,23,cmc,1,1,active,ARFF,629,4,333,3,10,1473,0,0,2,8,0.227898598,0.063026667,FALSE
-24,24,mushroom,1,1,active,ARFF,4208,12,3916,2,23,8124,2480,2480,0,23,0.767728806,0.056344509,FALSE
-25,25,colic,1,1,active,ARFF,232,63,136,2,27,368,361,1927,7,20,0.240282059,0.058874846,FALSE
-26,26,nursery,1,1,active,ARFF,4320,5,2,5,9,12960,0,0,0,9,0.456167698,0.046078682,FALSE
-27,27,colic,2,1,active,ARFF,232,6,136,2,23,368,361,1927,7,16,0.248191833,0.048565388,FALSE
-28,28,optdigits,1,1,active,ARFF,572,10,554,10,65,5620,0,0,64,1,0.502389908,0.053734541,FALSE
-29,29,credit-approval,1,1,active,ARFF,383,14,307,2,16,690,37,67,6,10,0.204377174,0.041999817,FALSE
-30,30,page-blocks,1,1,active,ARFF,4913,5,28,5,11,5473,0,0,10,1,0.306312323,0.038965225,FALSE
-31,31,credit-g,1,1,active,ARFF,700,10,300,2,21,1000,0,0,7,14,0.256217003,0.044029951,FALSE
-32,32,pendigits,1,1,active,ARFF,1144,10,1055,10,17,10992,0,0,16,1,0.533252001,0.043000698,FALSE
-34,34,postoperative-patient-data,1,1,active,ARFF,64,4,2,3,9,90,3,3,0,9,0.209019899,0.037974596,FALSE
-35,35,dermatology,1,1,active,ARFF,112,6,20,6,35,366,8,8,1,34,0.239084482,0.055029869,FALSE
-36,36,segment,1,1,active,ARFF,330,7,330,7,20,2310,0,0,19,1,0.250968218,0.041995049,FALSE
-37,37,diabetes,1,1,active,ARFF,500,2,268,2,9,768,0,0,8,1,0.199996471,0.039998055,FALSE
-38,38,sick,1,1,active,ARFF,3541,5,231,2,30,3772,3772,6064,7,23,0.386120319,0.062975645,FALSE
-39,39,ecoli,1,1,active,ARFF,143,8,2,8,8,336,0,0,7,1,0.195625305,0.03999877,FALSE
-40,40,sonar,1,1,active,ARFF,111,2,97,2,61,208,0,0,60,1,0.212397575,0.044997931,FALSE
-41,41,glass,1,1,active,ARFF,76,6,9,6,10,214,0,0,9,1,0.187852859,0.0400002,FALSE
-42,42,soybean,1,1,active,ARFF,92,19,8,19,36,683,121,2337,0,36,0.270028591,0.05702734,FALSE
-43,43,haberman,1,1,active,ARFF,225,12,81,2,4,306,0,0,2,2,0.192916155,0.033972025,FALSE
-44,44,spambase,1,1,active,ARFF,2788,2,1813,2,58,4601,0,0,57,1,0.370003223,0.051000834,FALSE
-46,46,splice,1,1,active,ARFF,1655,6,767,3,61,3190,0,0,0,61,0.570577383,0.114998579,FALSE
-48,48,tae,1,1,active,ARFF,52,3,49,3,6,151,0,0,3,3,0.202024221,0.041000843,FALSE
-49,49,heart-c,1,1,active,ARFF,165,4,138,2,14,303,7,7,6,8,0.215783596,0.043996572,FALSE
-50,50,tic-tac-toe,1,1,active,ARFF,626,3,332,2,10,958,0,0,0,10,0.200438976,0.041038513,FALSE
-51,51,heart-h,1,1,active,ARFF,188,4,106,2,14,294,293,782,6,8,0.200998306,0.051002026,FALSE
-52,52,trains,1,1,active,ARFF,5,8,5,2,33,10,7,51,0,33,0.209274769,0.053965807,FALSE
-53,53,heart-statlog,1,1,active,ARFF,150,2,120,2,14,270,0,0,13,1,0.197831869,0.039000511,FALSE
-54,54,vehicle,1,1,active,ARFF,218,4,199,4,19,846,0,0,18,1,0.207367182,0.045996428,FALSE
-55,55,hepatitis,1,1,active,ARFF,123,2,32,2,20,155,75,167,6,14,0.191020012,0.049999237,FALSE
-56,56,vote,1,1,active,ARFF,267,2,168,2,17,435,203,392,0,17,0.21558857,0.051034689,FALSE
-57,57,hypothyroid,1,1,active,ARFF,3481,5,2,4,30,3772,3772,6064,7,23,0.444135427,0.053000212,FALSE
-59,59,ionosphere,1,1,active,ARFF,225,2,126,2,35,351,0,0,34,1,0.196999788,0.037999153,FALSE
-60,60,waveform-5000,1,1,active,ARFF,1692,3,1653,3,41,5000,0,0,40,1,0.562864542,0.044965267,FALSE
-61,61,iris,1,1,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.18332696,0.036999702,FALSE
-62,62,zoo,1,1,active,ARFF,41,7,4,7,17,101,0,0,1,16,0.199836731,0.047000885,FALSE
-70,70,"BNG(anneal,nominal,1000000)",1,1,active,ARFF,759513,10,597,6,39,1000000,0,0,0,39,124.5194182,0.270030975,FALSE
-71,71,"BNG(anneal.ORIG,nominal,1000000)",1,1,active,ARFF,759513,9,597,6,39,1000000,0,0,0,39,93.20282102,0.283009768,FALSE
-72,72,BNG(kr-vs-kp),1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,50.72825098,0.313958168,FALSE
-73,73,"BNG(labor,nominal,1000000)",1,1,active,ARFF,645520,3,354480,2,17,1000000,0,0,0,17,62.89759302,0.152997255,FALSE
-74,74,"BNG(letter,nominal,1000000)",1,1,active,ARFF,40828,26,36483,26,17,1000000,0,0,0,17,90.0420208,0.157043219,FALSE
-75,75,"BNG(autos,nominal,1000000)",1,1,active,ARFF,323286,22,2430,7,26,1000000,0,0,0,26,107.3985791,0.205956459,FALSE
-76,76,"BNG(lymph,nominal,1000000)",1,1,active,ARFF,543512,8,16553,4,19,1000000,0,0,0,19,52.38296127,0.163083553,FALSE
-77,77,"BNG(breast-cancer,nominal,1000000)",1,1,active,ARFF,702823,13,297177,2,10,1000000,0,0,0,10,19.62734175,0.111977816,FALSE
-78,78,"BNG(mfeat-fourier,nominal,1000000)",1,1,active,ARFF,100595,10,99773,10,77,1000000,0,0,0,77,414.0993237,0.502029181,FALSE
-115,115,"BNG(mfeat-karhunen,nominal,1000000)",1,1,active,ARFF,100393,10,99523,10,65,1000000,0,0,0,65,356.6366806,0.484126806,FALSE
-116,116,"BNG(bridges_version1,nominal,1000000)",1,1,active,ARFF,422711,108,95098,6,13,1000000,0,0,0,13,39.88182831,0.123034716,FALSE
-117,117,"BNG(bridges_version2,nominal,1000000)",1,1,active,ARFF,422711,108,95098,6,13,1000000,0,0,0,13,22.22384,0.174970627,FALSE
-118,118,"BNG(mfeat-zernike,nominal,1000000)",1,1,active,ARFF,100380,10,99430,10,48,1000000,0,0,0,48,267.0013974,0.372995853,FALSE
-119,119,"BNG(cmc,nominal,55296)",1,1,active,ARFF,23655,4,12555,3,10,55296,0,0,0,10,1.880727768,0.050036192,FALSE
-120,120,BNG(mushroom),1,1,active,ARFF,518298,12,481702,2,23,1000000,0,0,0,23,33.22111344,0.188414097,FALSE
-121,121,"BNG(colic.ORIG,nominal,1000000)",1,1,active,ARFF,662777,338,337223,2,28,1000000,0,0,0,28,84.22955084,0.252105713,FALSE
-122,122,"BNG(colic,nominal,1000000)",1,1,active,ARFF,629653,6,370347,2,23,1000000,0,0,0,23,88.53514218,0.210761547,FALSE
-123,123,BNG(optdigits),1,1,active,ARFF,101675,10,98637,10,65,1000000,0,0,0,65,355.6622233,0.478000402,FALSE
-124,124,"BNG(credit-a,nominal,1000000)",1,1,active,ARFF,554898,14,445102,2,16,1000000,0,0,0,16,56.76650381,0.20600152,FALSE
-125,125,"BNG(page-blocks,nominal,295245)",1,1,active,ARFF,265211,5,1558,5,11,295245,0,0,0,11,18.34516048,0.077994823,FALSE
-126,126,"BNG(credit-g,nominal,1000000)",1,1,active,ARFF,699587,11,300413,2,21,1000000,0,0,0,21,92.4647367,0.195121527,FALSE
-127,127,"BNG(pendigits,nominal,1000000)",1,1,active,ARFF,104573,10,95300,10,17,1000000,0,0,0,17,85.68774343,0.185991526,FALSE
-128,128,"BNG(cylinder-bands,nominal,1000000)",1,1,active,ARFF,577023,429,422977,2,40,1000000,0,0,0,40,151.5964484,0.298004866,FALSE
-129,129,"BNG(dermatology,nominal,1000000)",1,1,active,ARFF,304611,6,54922,6,35,1000000,0,0,0,35,73.97066164,0.280000925,FALSE
-130,130,BNG(segment),1,1,active,ARFF,143586,7,142366,7,20,1000000,0,0,0,20,106.5058327,0.169964075,FALSE
-131,131,"BNG(sick,nominal,1000000)",1,1,active,ARFF,938761,5,61239,2,30,1000000,0,0,0,30,81.42488837,0.252034426,FALSE
-132,132,"BNG(sonar,nominal,1000000)",1,1,active,ARFF,533556,3,466444,2,61,1000000,0,0,0,61,372.8260052,0.420624256,FALSE
-133,133,"BNG(glass,nominal,137781)",1,1,active,ARFF,48277,7,307,7,10,137781,0,0,0,10,9.05200696,0.052602291,FALSE
-134,134,BNG(soybean),1,1,active,ARFF,133345,19,12441,19,36,1000000,0,0,0,36,65.64111567,0.270183325,FALSE
-135,135,BNG(spambase),1,1,active,ARFF,605948,3,394052,2,58,1000000,0,0,0,58,320.186903,0.401047945,FALSE
-136,136,"BNG(heart-c,nominal,1000000)",1,1,active,ARFF,540810,5,1618,5,14,1000000,0,0,0,14,55.49961758,0.126024246,FALSE
-137,137,BNG(tic-tac-toe),1,1,active,ARFF,25702,3,13664,2,10,39366,0,0,0,10,0.994837523,0.044976473,FALSE
-138,138,"BNG(heart-h,nominal,1000000)",1,1,active,ARFF,634862,5,1659,5,14,1000000,0,0,0,14,53.46746588,0.128537416,FALSE
-139,139,BNG(trains),1,1,active,ARFF,501119,8,498881,2,33,1000000,0,0,0,33,51.31447649,0.254591227,FALSE
-140,140,"BNG(heart-statlog,nominal,1000000)",1,1,active,ARFF,554324,3,445676,2,14,1000000,0,0,0,14,82.41874051,0.130733728,FALSE
-141,141,"BNG(vehicle,nominal,1000000)",1,1,active,ARFF,258113,4,234833,4,19,1000000,0,0,0,19,103.7532899,0.166741371,FALSE
-142,142,"BNG(hepatitis,nominal,1000000)",1,1,active,ARFF,791048,3,208952,2,20,1000000,0,0,0,20,63.64419293,0.170619249,FALSE
-143,143,BNG(vote),1,1,active,ARFF,80409,2,50663,2,17,131072,0,0,0,17,3.324701548,0.067004681,FALSE
-144,144,"BNG(hypothyroid,nominal,1000000)",1,1,active,ARFF,922578,5,677,4,30,1000000,0,0,0,30,94.44113684,0.235844612,FALSE
-146,146,BNG(ionosphere),1,1,active,ARFF,641025,3,358975,2,35,1000000,0,0,0,35,211.6790798,0.273471117,FALSE
-147,147,"BNG(waveform-5000,nominal,1000000)",1,1,active,ARFF,337805,3,330548,3,41,1000000,0,0,0,41,251.5427203,0.313961506,FALSE
-148,148,"BNG(zoo,nominal,1000000)",1,1,active,ARFF,396212,100,42992,7,18,1000000,0,0,0,18,42.74774289,0.777171373,FALSE
-149,149,CovPokElec,1,1,active,ARFF,654548,10,2,10,73,1455525,0,0,22,51,120.5575671,1.129272938,FALSE
-150,150,covertype,3,1,active,ARFF,283301,7,2747,7,55,581012,0,0,10,45,38.82348442,0.323026657,FALSE
-151,151,electricity,1,1,active,ARFF,26075,7,19237,2,9,45312,0,0,7,2,0.829033852,0.054006577,FALSE
-152,152,Hyperplane_10_1E-3,1,1,active,ARFF,500007,2,499993,2,11,1000000,0,0,10,1,21.05972123,0.276792765,FALSE
-153,153,Hyperplane_10_1E-4,1,1,active,ARFF,500166,2,499834,2,11,1000000,0,0,10,1,20.34109092,0.271310091,FALSE
-154,154,LED(50000),1,1,active,ARFF,100824,10,99427,10,25,1000000,0,0,0,25,35.47621751,0.209006071,FALSE
-155,155,pokerhand,1,1,active,ARFF,415526,10,2,10,11,829201,0,0,5,6,11.18556976,0.171994448,FALSE
-156,156,RandomRBF_0_0,1,1,active,ARFF,300096,5,92713,5,11,1000000,0,0,10,1,21.46604347,0.297406673,FALSE
-157,157,RandomRBF_10_1E-3,1,1,active,ARFF,300096,5,92713,5,11,1000000,0,0,10,1,21.26690531,0.306497812,FALSE
-158,158,RandomRBF_10_1E-4,1,1,active,ARFF,300096,5,92713,5,11,1000000,0,0,10,1,21.4501071,0.29503727,FALSE
-159,159,RandomRBF_50_1E-3,1,1,active,ARFF,300096,5,92713,5,11,1000000,0,0,10,1,21.06618285,0.290016413,FALSE
-160,160,RandomRBF_50_1E-4,1,1,active,ARFF,300096,5,92713,5,11,1000000,0,0,10,1,21.0906024,0.285038471,FALSE
-161,161,SEA(50),1,1,active,ARFF,614342,2,385658,2,4,1000000,0,0,3,1,10.21841502,0.148528814,FALSE
-162,162,SEA(50000),1,1,active,ARFF,614332,2,385668,2,4,1000000,0,0,3,1,9.498123884,0.155231953,FALSE
-163,163,lung-cancer,1,1,active,ARFF,13,4,9,3,57,32,5,5,0,57,0.279034138,0.069692612,FALSE
-164,164,molecular-biology_promoters,1,1,active,ARFF,53,4,53,2,59,106,0,0,0,59,0.292084932,0.074018002,FALSE
-171,171,primary-tumor,1,1,active,ARFF,84,21,1,21,18,339,207,225,0,18,0.220188618,0.05308795,FALSE
-172,172,shuttle-landing-control,1,1,active,ARFF,9,4,6,2,7,15,9,26,0,7,0.203795671,0.042036057,FALSE
-179,179,adult,1,1,active,ARFF,37155,41,11687,2,15,48842,3620,6465,2,13,1.388065338,0.059066057,FALSE
-180,180,covertype,1,1,active,ARFF,51682,7,1339,7,55,110393,0,0,14,41,6.938719034,0.121468782,FALSE
-181,181,yeast,1,1,active,ARFF,463,10,5,10,9,1484,0,0,8,1,0.253544569,0.042867184,FALSE
-182,182,satimage,1,1,active,ARFF,1531,6,625,6,37,6430,0,0,36,1,0.532131672,0.050979376,FALSE
-183,183,abalone,1,1,active,ARFF,689,28,1,28,9,4177,0,0,7,2,0.278004885,0.043017149,FALSE
-184,184,kropt,1,1,active,ARFF,4553,18,27,18,7,28056,0,0,0,7,0.636293888,0.049966335,FALSE
-185,185,baseball,1,1,active,ARFF,1215,7,57,3,18,1340,20,20,15,3,0.254926205,0.050000191,FALSE
-186,186,braziltourism,1,1,active,ARFF,318,7,1,7,9,412,49,96,4,5,0.197021008,0.038002491,FALSE
-187,187,wine,1,1,active,ARFF,71,3,48,3,14,178,0,0,13,1,0.213004827,0.037995577,FALSE
-188,188,eucalyptus,1,1,active,ARFF,214,27,105,5,20,736,95,448,14,6,0.211004019,0.043004036,FALSE
-189,189,kin8nm,1,1,active,ARFF,,,,0,9,8192,0,0,9,0,0.357614279,0.048997879,FALSE
-190,190,mbagrade,1,1,active,ARFF,,2,,0,3,61,0,0,2,1,0.18753314,0.046000004,FALSE
-191,191,wisconsin,1,1,active,ARFF,,,,0,33,194,0,0,33,0,0.198992729,0.048001051,FALSE
-192,192,vineyard,1,1,active,ARFF,,,,0,4,52,0,0,4,0,0.189611673,0.038002968,FALSE
-193,193,bolts,1,1,active,ARFF,,,,0,8,40,0,0,8,0,0.195063829,0.039995909,FALSE
-194,194,cleveland,1,1,active,ARFF,,4,,0,14,303,6,6,7,7,0.209979296,0.041997671,FALSE
-195,195,auto_price,1,1,active,ARFF,,6,,0,16,159,0,0,15,1,0.176990271,0.041000366,FALSE
-196,196,autoMpg,1,1,active,ARFF,,13,,0,8,398,6,6,5,3,0.237782001,0.061006308,FALSE
-197,197,cpu_act,1,1,active,ARFF,,,,0,22,8192,0,0,22,0,0.539990902,0.060997963,FALSE
-198,198,delta_elevators,1,1,active,ARFF,,,,0,7,9517,0,0,7,0,0.296679974,0.042000294,FALSE
-199,199,fruitfly,1,1,active,ARFF,,3,,0,5,125,0,0,3,2,0.196974039,0.044998169,FALSE
-200,200,pbc,1,1,active,ARFF,,4,,0,19,418,142,1239,11,8,0.231003761,0.044998646,FALSE
-201,201,pol,1,1,active,ARFF,,,,0,49,15000,0,0,49,0,0.69885397,0.054006338,FALSE
-202,202,autoHorse,1,1,active,ARFF,,,,,,,,,,,0.19581008,0.077105284,FALSE
-203,203,lowbwt,1,1,active,ARFF,,6,,0,10,189,0,0,3,7,0.191746235,0.04296875,FALSE
-204,204,cholesterol,1,1,active,ARFF,,4,,0,14,303,6,6,7,7,0.20903945,0.045031309,FALSE
-205,205,sleep,1,1,active,ARFF,,,,0,8,62,11,12,8,0,0.180000782,0.038974285,FALSE
-206,206,triazines,1,1,active,ARFF,,,,0,61,186,0,0,61,0,0.217010498,0.0493083,FALSE
-207,207,autoPrice,1,1,active,ARFF,,,,0,16,159,0,0,16,0,0.17999649,0.039039135,FALSE
-208,208,detroit,1,1,active,ARFF,,,,0,14,13,0,0,14,0,0.183716536,0.036988258,FALSE
-209,209,quake,1,1,active,ARFF,,,,0,4,2178,0,0,4,0,0.187602043,0.037000895,FALSE
-210,210,cloud,1,1,active,ARFF,,4,,0,7,108,0,0,5,2,0.197199583,0.037974119,FALSE
-211,211,longley,1,1,active,ARFF,,,,0,7,16,0,0,7,0,0.188977242,0.034017563,FALSE
-212,212,diabetes_numeric,1,1,active,ARFF,,,,0,3,43,0,0,3,0,0.189006329,0.035790682,FALSE
-213,213,pharynx,1,1,active,ARFF,,184,,0,12,195,2,2,2,10,0.209438801,0.043024778,FALSE
-214,214,baskball,1,1,active,ARFF,,,,0,5,96,0,0,5,0,0.189612627,0.039974928,FALSE
-215,215,2dplanes,1,1,active,ARFF,,,,0,11,40768,0,0,11,0,0.643850327,0.064339161,FALSE
-216,216,elevators,1,1,active,ARFF,,,,0,19,16599,0,0,19,0,0.710051298,0.063000441,FALSE
-217,217,pyrim,1,1,active,ARFF,,,,0,28,74,0,0,28,0,0.191897869,0.044113159,FALSE
-218,218,house_8L,1,1,active,ARFF,,,,0,9,22784,0,0,9,0,0.652713776,0.047049999,FALSE
-222,222,echoMonths,1,1,active,ARFF,,2,,0,10,130,69,97,7,3,0.187005997,0.042000294,FALSE
-223,223,stock,1,1,active,ARFF,,,,0,10,950,0,0,10,0,0.192001104,0.042468548,FALSE
-224,224,breastTumor,1,1,active,ARFF,,18,,0,10,286,9,9,2,8,0.249793053,0.043027639,FALSE
-225,225,puma8NH,1,1,active,ARFF,,,,0,9,8192,0,0,9,0,0.323127508,0.040974617,FALSE
-226,226,gascons,1,1,active,ARFF,,,,0,5,27,0,0,5,0,0.181044817,0.038000107,FALSE
-227,227,cpu_small,1,1,active,ARFF,,,,0,13,8192,0,0,13,0,0.40396595,0.043000221,FALSE
-228,228,elusage,1,1,active,ARFF,,12,,0,3,55,0,0,2,1,0.181972265,0.0329988,FALSE
-229,229,pwLinear,1,1,active,ARFF,,,,0,11,200,0,0,11,0,0.205031395,0.035000086,FALSE
-230,230,machine_cpu,1,1,active,ARFF,,,,0,7,209,0,0,7,0,0.183007717,0.039000273,FALSE
-231,231,hungarian,1,1,active,ARFF,,4,,0,14,294,293,782,7,7,0.193984509,0.043029547,FALSE
-232,232,fishcatch,1,1,active,ARFF,,7,,0,8,158,87,87,6,2,0.191987753,0.041969299,FALSE
-244,244,BNG(anneal),1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,94.29450583,0.394280434,FALSE
-245,245,BNG(anneal.ORIG),2,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,48.43128419,0.407626152,FALSE
-246,246,BNG(labor),2,1,active,ARFF,647000,3,353000,2,17,1000000,0,0,8,9,24.16730428,0.246871948,FALSE
-247,247,BNG(letter),2,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,26.92175651,0.360666513,FALSE
-248,248,BNG(autos),1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,45.14080501,0.382161856,FALSE
-249,249,BNG(lymph),1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.1506412,0.241840363,FALSE
-250,250,BNG(mfeat-fourier),1,1,active,ARFF,100515,10,99530,10,77,1000000,0,0,76,1,127.2653,1.343691111,FALSE
-251,251,BNG(breast-w),1,1,active,ARFF,25820,2,13546,2,10,39366,0,0,9,1,0.705827236,0.049964666,FALSE
-252,252,BNG(mfeat-karhunen),1,1,active,ARFF,100410,10,99545,10,65,1000000,0,0,64,1,131.6599994,1.133541584,FALSE
-253,253,BNG(bridges_version1),1,1,active,ARFF,423139,108,95207,6,13,1000000,0,0,3,10,21.70695448,0.196508408,FALSE
-254,254,BNG(mfeat-zernike),1,1,active,ARFF,100289,10,99797,10,48,1000000,0,0,47,1,93.00673223,0.847809553,FALSE
-255,255,BNG(cmc),1,1,active,ARFF,23567,4,12447,3,10,55296,0,0,2,8,1.069310665,0.044996023,FALSE
-256,256,BNG(colic.ORIG),1,1,active,ARFF,637594,338,362406,2,28,1000000,0,0,7,21,42.74134398,0.297422409,FALSE
-257,257,BNG(colic),1,1,active,ARFF,630221,6,369779,2,23,1000000,0,0,7,16,60.89840269,0.282052279,FALSE
-258,258,BNG(credit-a),1,1,active,ARFF,554008,14,445992,2,16,1000000,0,0,6,10,25.04089165,0.237036943,FALSE
-259,259,BNG(page-blocks),1,1,active,ARFF,265174,5,1486,5,11,295245,0,0,10,1,6.900469303,0.11400342,FALSE
-260,260,BNG(credit-g),1,1,active,ARFF,699774,11,300226,2,21,1000000,0,0,7,14,55.40350199,0.286551952,FALSE
-261,261,BNG(pendigits),1,1,active,ARFF,104513,10,95594,10,17,1000000,0,0,16,1,28.82462859,0.329146624,FALSE
-262,262,BNG(cylinder-bands),1,1,active,ARFF,578062,429,421938,2,40,1000000,0,0,18,22,63.48305273,0.550039768,FALSE
-263,263,BNG(dermatology),1,1,active,ARFF,304589,6,55693,6,35,1000000,0,0,1,34,47.92838526,0.35858655,FALSE
-264,264,BNG(sonar),1,1,active,ARFF,532538,2,467462,2,61,1000000,0,0,60,1,101.1378155,1.217999935,FALSE
-265,265,BNG(glass),1,1,active,ARFF,48774,7,313,7,10,137781,0,0,9,1,3.732925415,0.081008673,FALSE
-266,266,BNG(heart-c),1,1,active,ARFF,541436,5,1609,5,14,1000000,0,0,6,8,23.14337134,0.229976892,FALSE
-267,267,BNG(heart-statlog),1,1,active,ARFF,555946,2,444054,2,14,1000000,0,0,13,1,19.11915207,0.318011761,FALSE
-268,268,BNG(vehicle),1,1,active,ARFF,257546,4,235618,4,19,1000000,0,0,18,1,36.3148365,0.448990107,FALSE
-269,269,BNG(hepatitis),1,1,active,ARFF,792183,2,207817,2,20,1000000,0,0,6,14,31.06759858,0.268002748,FALSE
-271,271,BNG(waveform-5000),1,1,active,ARFF,338402,3,330606,3,41,1000000,0,0,40,1,81.71568418,0.748377323,FALSE
-272,272,BNG(zoo),1,1,active,ARFF,396504,100,42792,7,18,1000000,0,0,1,17,28.17733717,0.818998575,FALSE
-273,273,IMDB.drama,1,1,active,Sparse_ARFF,77140,2,43779,2,1002,120919,0,0,1001,1,7.62569809,0.97102499,FALSE
-274,274,20_newsgroups.drift,1,1,active,ARFF,379943,2,19997,2,1002,399940,0,0,0,1001,478.2723441,1.746973038,FALSE
-275,275,meta_all.arff,1,1,active,ARFF,42,6,2,6,63,71,0,0,62,1,0.229387522,0.058995724,FALSE
-276,276,meta_batchincremental.arff,1,1,active,ARFF,50,4,3,4,63,74,0,0,62,1,0.225631475,0.052997828,FALSE
-277,277,meta_ensembles.arff,1,1,active,ARFF,45,4,5,4,63,74,0,0,62,1,0.195120811,0.057042599,FALSE
-278,278,meta_instanceincremental.arff,1,1,active,ARFF,54,4,3,4,63,74,0,0,62,1,0.19716239,0.055958986,FALSE
-279,279,meta_stream_intervals.arff,1,1,active,ARFF,23021,11,73,11,75,45164,0,0,74,1,4.759301901,0.131197691,FALSE
-285,285,flags,1,2,active,ARFF,60,14,4,8,30,194,0,0,2,28,0.251449108,0.067997694,FALSE
-287,287,wine_quality,1,94,active,ARFF,,,,0,12,6497,0,0,12,0,0.286714792,0.050597191,FALSE
-293,293,covertype,2,167,active,Sparse_ARFF,297711,2,283301,2,55,581012,0,0,54,1,21.7964499,0.995016098,FALSE
-294,294,satellite_image,1,94,active,ARFF,,,,0,37,6435,0,0,37,0,0.443728447,0.063997507,FALSE
-296,296,Ailerons,1,167,active,ARFF,,,,0,41,13750,0,0,41,0,0.970999241,0.058995485,FALSE
-298,298,coil2000,1,94,active,ARFF,,,,0,86,9822,0,0,86,0,0.777961016,0.069004774,FALSE
-299,299,libras_move,1,94,active,ARFF,,,,0,91,360,0,0,91,0,0.254024506,0.061996222,FALSE
-300,300,isolet,1,94,active,ARFF,300,26,298,26,618,7797,0,0,617,1,8.878544092,0.202999592,FALSE
-301,301,ozone_level,1,94,active,ARFF,,1688,,0,73,2536,0,0,1,72,1.299589396,0.26699996,FALSE
-307,307,vowel,2,2,active,ARFF,90,15,90,11,13,990,0,0,10,3,0.20600009,0.058000088,FALSE
-308,308,puma32H,1,2,active,ARFF,,,,0,33,8192,0,0,33,0,0.843001127,0.074022055,FALSE
-310,310,mammography,1,94,active,ARFF,10923,2,260,2,7,11183,0,0,6,1,0.418027163,0.054022312,FALSE
-311,311,oil_spill,1,94,active,ARFF,896,2,41,2,50,937,0,0,49,1,0.331352472,0.054901123,FALSE
-312,312,scene,1,94,active,ARFF,1976,2,431,2,300,2407,0,0,294,6,1.445371628,0.105765104,FALSE
-313,313,spectrometer,1,94,active,ARFF,55,531,1,48,103,531,0,0,100,3,0.312005758,0.071899891,FALSE
-315,315,us_crime,1,94,active,ARFF,,,,0,128,1994,1871,39202,127,0,0.473988771,0.07499361,FALSE
-316,316,yeast_ml8,1,94,active,ARFF,2383,2,34,2,117,2417,0,0,103,14,0.650060892,0.080036163,FALSE
-327,327,bridges,3,2,active,ARFF,44,54,10,6,13,105,35,61,3,10,0.206239462,0.060985088,FALSE
-328,328,bridges,4,2,active,ARFF,44,54,10,6,13,105,35,61,0,13,0.267352819,0.060501099,FALSE
-329,329,hayes-roth,1,2,active,ARFF,65,3,31,3,5,160,0,0,4,1,0.188025713,0.049021482,FALSE
-333,333,monks-problems-1,1,2,active,ARFF,278,4,278,2,7,556,0,0,0,7,0.18899703,0.05497694,FALSE
-334,334,monks-problems-2,1,2,active,ARFF,395,4,206,2,7,601,0,0,0,7,0.200998306,0.050652981,FALSE
-335,335,monks-problems-3,1,2,active,ARFF,288,4,266,2,7,554,0,0,0,7,0.225999594,0.056041479,FALSE
-336,336,SPECT,1,2,active,ARFF,212,2,55,2,23,267,0,0,0,23,0.231999874,0.066996336,FALSE
-337,337,SPECTF,1,2,active,ARFF,254,2,95,2,45,349,0,0,44,1,0.292303801,0.057965279,FALSE
-338,338,grub-damage,1,2,active,ARFF,49,21,19,4,9,155,0,0,2,7,0.204288721,0.051022768,FALSE
-339,339,pasture,1,2,active,ARFF,12,4,12,3,23,36,0,0,21,2,0.19900465,0.058012962,FALSE
-340,340,squash-stored,1,2,active,ARFF,23,22,8,3,25,52,2,7,21,4,0.193977594,0.057967901,FALSE
-342,342,squash-unstored,1,2,active,ARFF,24,22,4,3,24,52,9,39,20,4,0.198447227,0.051997185,FALSE
-343,343,white-clover,1,2,active,ARFF,38,7,1,4,32,63,0,0,27,5,0.193673849,0.049996614,FALSE
-344,344,mv,1,2,active,ARFF,,3,,0,11,40768,0,0,8,3,1.225423098,0.058024168,FALSE
-346,346,aids,1,2,active,ARFF,25,5,25,2,5,50,0,0,2,3,0.196677685,0.047977924,FALSE
-350,350,webdata_wXa,1,167,active,Sparse_ARFF,28100,2,8874,2,124,36974,0,0,123,1,1.488301516,0.190001488,FALSE
-351,351,codrna,1,167,active,Sparse_ARFF,325710,2,162855,2,9,488565,0,0,8,1,12.32575059,0.536998272,FALSE
-354,354,poker,1,167,active,Sparse_ARFF,513702,2,511308,2,11,1025010,0,0,10,1,32.20475078,1.444381714,FALSE
-357,357,vehicle_sensIT,1,167,active,Sparse_ARFF,49264,2,49264,2,101,98528,0,0,100,1,34.25920177,1.514763594,FALSE
-372,372,internet_usage,1,2,active,ARFF,2878,10108,6,46,72,10108,2699,2699,0,72,1.422018051,0.223999262,FALSE
-373,373,UNIX_user_data,1,2,active,ARFF,2425,9,484,9,3,9100,0,0,1,1,0.511976242,0.062001944,FALSE
-374,374,SyskillWebert-BioMedical,1,2,active,ARFF,96,3,3,3,3,131,0,0,0,1,0.569002628,0.053995609,FALSE
-375,375,JapaneseVowels,1,2,active,ARFF,1614,9,782,9,15,9961,0,0,14,1,0.481725931,0.058999062,FALSE
-376,376,SyskillWebert-Sheep,1,2,active,ARFF,51,2,14,2,3,65,0,0,0,1,0.268946409,0.048006535,FALSE
-377,377,synthetic_control,1,2,active,ARFF,100,6,100,6,62,600,0,0,60,2,0.31949544,0.057994127,FALSE
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-379,379,SyskillWebert-Goats,1,2,active,ARFF,37,3,1,3,3,70,0,0,0,1,0.322015285,0.054865122,FALSE
-380,380,SyskillWebert-Bands,1,2,active,ARFF,39,3,7,3,3,61,0,0,0,1,0.294133186,0.050000191,FALSE
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-388,388,tr23.wc,1,2,active,Sparse_ARFF,91,6,6,6,5833,204,0,0,5832,1,2.52787137,2.836551666,TRUE
-389,389,fbis.wc,1,2,active,Sparse_ARFF,506,17,38,17,2001,2463,0,0,2000,1,1.979893208,1.090040684,FALSE
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-393,393,la2s.wc,1,2,active,Sparse_ARFF,905,6,248,6,12433,3075,0,0,12432,1,5.735706091,6.07177639,TRUE
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-396,396,la1s.wc,1,2,active,Sparse_ARFF,943,6,273,6,13196,3204,0,0,13195,1,6.462701321,6.503511906,TRUE
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-404,404,yokohoma1,1,2,active,ARFF,,,,0,1143,13,0,0,1143,0,0.367978096,0.084999561,FALSE
-405,405,mtp,1,2,active,ARFF,,,,0,203,4450,0,0,203,0,1.458925009,0.079000473,FALSE
-406,406,qsbr_y2,1,2,active,ARFF,,,,0,10,25,0,0,10,0,0.180994987,0.036998749,FALSE
-407,407,krystek,1,2,active,ARFF,,,,0,1143,30,0,0,1143,0,0.408974886,0.086000443,FALSE
-408,408,depreux,1,2,active,ARFF,,,,0,1143,26,0,0,1143,0,0.404998064,0.087001801,FALSE
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-437,437,garrat,1,2,active,ARFF,,,,0,1143,10,0,0,1143,0,0.439980268,0.08500576,FALSE
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-441,441,qsabr1,1,2,active,ARFF,,,,0,10,15,0,0,10,0,0.189987659,0.034738302,FALSE
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-1134,1134,OVA_Kidney,1,2,active,ARFF,1285,2,260,2,10937,1545,0,0,10936,1,29.20673323,1.023718834,FALSE
-1135,1135,AP_Colon_Prostate,1,2,active,ARFF,286,2,69,2,10937,355,0,0,10936,1,7.814847469,0.649093628,FALSE
-1136,1136,AP_Lung_Uterus,1,2,active,ARFF,126,2,124,2,10937,250,0,0,10936,1,6.100231886,0.662000895,FALSE
-1137,1137,AP_Colon_Kidney,1,2,active,ARFF,286,2,260,2,10937,546,0,0,10936,1,11.0407846,0.700695753,FALSE
-1138,1138,OVA_Uterus,1,2,active,ARFF,1421,2,124,2,10937,1545,0,0,10936,1,30.11339808,1.035910606,FALSE
-1139,1139,OVA_Omentum,1,2,active,ARFF,1468,2,77,2,10937,1545,0,0,10936,1,28.85353494,1.062042475,FALSE
-1140,1140,AP_Ovary_Lung,1,2,active,ARFF,198,2,126,2,10937,324,0,0,10936,1,12.91091609,0.753663778,FALSE
-1141,1141,AP_Endometrium_Prostate,1,2,active,ARFF,69,2,61,2,10937,130,0,0,10936,1,5.052230835,0.609926462,FALSE
-1142,1142,OVA_Endometrium,1,2,active,ARFF,1484,2,61,2,10937,1545,0,0,10936,1,31.01455092,1.020863533,FALSE
-1143,1143,AP_Colon_Omentum,1,2,active,ARFF,286,2,77,2,10937,363,0,0,10936,1,8.81150198,0.67799449,FALSE
-1144,1144,AP_Prostate_Kidney,1,2,active,ARFF,260,2,69,2,10937,329,0,0,10936,1,7.433261633,0.665999413,FALSE
-1145,1145,AP_Breast_Colon,1,2,active,ARFF,344,2,286,2,10937,630,0,0,10936,1,14.55891538,0.732000828,FALSE
-1146,1146,OVA_Prostate,1,2,active,ARFF,1476,2,69,2,10937,1545,0,0,10936,1,30.56075358,1.043505669,FALSE
-1147,1147,AP_Omentum_Kidney,1,2,active,ARFF,260,2,77,2,10937,337,0,0,10936,1,7.983921289,0.680038214,FALSE
-1148,1148,AP_Breast_Uterus,1,2,active,ARFF,344,2,124,2,10937,468,0,0,10936,1,10.18108845,0.690999746,FALSE
-1149,1149,AP_Ovary_Kidney,1,2,active,ARFF,260,2,198,2,10937,458,0,0,10936,1,9.734192371,0.843571901,FALSE
-1150,1150,AP_Breast_Lung,1,2,active,ARFF,344,2,126,2,10937,470,0,0,10936,1,9.698908329,0.861971617,FALSE
-1151,1151,AP_Endometrium_Omentum,1,2,active,ARFF,77,2,61,2,10937,138,0,0,10936,1,4.201410532,0.771999121,FALSE
-1152,1152,AP_Prostate_Ovary,1,2,active,ARFF,198,2,69,2,10937,267,0,0,10936,1,7.012129307,0.891785145,FALSE
-1153,1153,AP_Colon_Ovary,1,2,active,ARFF,286,2,198,2,10937,484,0,0,10936,1,10.0833683,0.870885849,FALSE
-1154,1154,AP_Endometrium_Lung,1,2,active,ARFF,126,2,61,2,10937,187,0,0,10936,1,6.211892605,0.593663454,FALSE
-1155,1155,AP_Prostate_Lung,1,2,active,ARFF,126,2,69,2,10937,195,0,0,10936,1,5.14800334,0.596000671,FALSE
-1156,1156,AP_Omentum_Ovary,1,2,active,ARFF,198,2,77,2,10937,275,0,0,10936,1,6.753423691,0.737875938,FALSE
-1157,1157,AP_Endometrium_Kidney,1,2,active,ARFF,260,2,61,2,10937,321,0,0,10936,1,7.538097858,0.642999411,FALSE
-1158,1158,AP_Breast_Kidney,1,2,active,ARFF,344,2,260,2,10937,604,0,0,10936,1,12.39675951,0.751999378,FALSE
-1159,1159,AP_Endometrium_Ovary,1,2,active,ARFF,198,2,61,2,10937,259,0,0,10936,1,6.53126812,0.705000639,FALSE
-1160,1160,AP_Colon_Uterus,1,2,active,ARFF,286,2,124,2,10937,410,0,0,10936,1,8.879747391,0.681754112,FALSE
-1161,1161,OVA_Colon,1,2,active,ARFF,1259,2,286,2,10937,1545,0,0,10936,1,29.75350928,1.068810701,FALSE
-1162,1162,AP_Ovary_Uterus,1,2,active,ARFF,198,2,124,2,10937,322,0,0,10936,1,8.482876062,0.74799943,FALSE
-1163,1163,AP_Lung_Kidney,1,2,active,ARFF,260,2,126,2,10937,386,0,0,10936,1,18.78980207,0.655289888,FALSE
-1164,1164,AP_Endometrium_Uterus,1,2,active,ARFF,124,2,61,2,10937,185,0,0,10936,1,14.33100653,0.633997917,FALSE
-1165,1165,AP_Breast_Ovary,1,2,active,ARFF,344,2,198,2,10937,542,0,0,10936,1,17.3527112,0.883114815,FALSE
-1166,1166,OVA_Ovary,1,2,active,ARFF,1347,2,198,2,10937,1545,0,0,10936,1,39.86544299,1.5280056,FALSE
-1167,1167,pc1_req,1,2,active,ARFF,213,3,107,2,9,320,0,0,7,2,0.268000841,0.040963411,FALSE
-1168,1168,electricity_prices_ICON,1,2,active,ARFF,,,,,,,,,,,2.381000042,0.096300125,FALSE
-1169,1169,airlines,1,2,active,ARFF,299119,293,240264,2,8,539383,0,0,3,5,11.72800732,0.114645243,FALSE
-1177,1177,BNG(primary-tumor),1,1,active,ARFF,240693,22,1417,22,18,1000000,0,0,0,18,32.24087691,0.162584782,FALSE
-1178,1178,BNG(solar-flare),1,1,active,ARFF,648320,6,15232,2,13,663552,0,0,0,13,12.40422463,0.09400034,FALSE
-1179,1179,BNG(solar-flare),1,1,active,ARFF,994382,8,1393,3,13,1000000,0,0,0,13,19.12008548,0.118999481,FALSE
-1180,1180,BNG(spect_test),1,1,active,ARFF,915437,2,84563,2,23,1000000,0,0,0,23,62.70054984,0.172999859,FALSE
-1181,1181,BNG(spectf_test),1,1,active,ARFF,784810,2,215190,2,45,1000000,0,0,44,1,101.1491239,0.797972679,FALSE
-1182,1182,BNG(adult),1,1,active,ARFF,759864,41,240136,2,15,1000000,0,0,2,13,27.81531429,0.194844484,FALSE
-1183,1183,BNG(satimage),1,1,active,ARFF,238391,6,96502,6,37,1000000,0,0,36,1,75.62016463,0.699164629,FALSE
-1184,1184,BNG(baseball),1,1,active,ARFF,,7,,,17,1000000,0,0,15,2,36.562181,0.390096188,FALSE
-1185,1185,BNG(wine),1,1,active,ARFF,401055,3,277674,3,14,1000000,0,0,13,1,30.06965017,0.289416313,FALSE
-1186,1186,BNG(eucalyptus),1,1,active,ARFF,289779,27,142795,5,20,1000000,0,0,14,6,62.34210324,0.325229168,FALSE
-1187,1187,BNG(wisconsin),1,1,active,ARFF,,,,0,33,1000000,0,0,33,0,61.43228889,0.588299036,FALSE
-1188,1188,BNG(cleveland),1,1,active,ARFF,,4,,0,14,1000000,0,0,7,7,22.59419203,0.219871759,FALSE
-1189,1189,BNG(auto_price),1,1,active,ARFF,,7,,0,16,1000000,0,0,15,1,34.7697897,0.293830156,FALSE
-1190,1190,BNG(cpu_act),1,1,active,ARFF,,,,0,22,1000000,0,0,22,0,38.94026113,0.432777166,FALSE
-1191,1191,BNG(pbc),1,1,active,ARFF,,4,,0,19,1000000,0,0,11,8,57.89769745,0.312503815,FALSE
-1192,1192,BNG(autoHorse),1,1,active,ARFF,,22,,0,26,1000000,0,0,18,8,52.2107079,0.423007965,FALSE
-1193,1193,BNG(lowbwt),1,1,active,ARFF,,6,,0,10,31104,0,0,3,7,0.932779551,0.047029495,FALSE
-1194,1194,BNG(cholesterol),1,1,active,ARFF,,4,,0,14,1000000,0,0,7,7,22.93558502,0.227328777,FALSE
-1195,1195,BNG(autoPrice),1,1,active,ARFF,,,,0,16,1000000,0,0,16,0,31.16070008,0.29848218,FALSE
-1196,1196,BNG(pharynx),1,1,active,ARFF,,6,,0,12,1000000,0,0,2,10,20.14518499,0.19212985,FALSE
-1197,1197,BNG(2dplanes),1,1,active,ARFF,,,,0,11,177147,0,0,11,0,2.364786625,0.083710194,FALSE
-1198,1198,BNG(elevators),1,1,active,ARFF,,,,0,19,1000000,0,0,19,0,29.4472816,0.404017448,FALSE
-1199,1199,BNG(echoMonths),1,1,active,ARFF,,2,,0,10,17496,0,0,7,3,0.613319397,0.040994644,FALSE
-1200,1200,BNG(stock),1,1,active,ARFF,,,,0,10,59049,0,0,10,0,1.453258991,0.050000668,FALSE
-1201,1201,BNG(breastTumor),1,1,active,ARFF,,18,,0,10,116640,0,0,2,8,2.455519199,0.058998585,FALSE
-1202,1202,BNG(cpu_small),1,1,active,ARFF,,,,0,13,1000000,0,0,13,0,27.52429008,0.289170742,FALSE
-1203,1203,BNG(pwLinear),1,1,active,ARFF,,,,0,11,177147,0,0,11,0,2.248178482,0.084030151,FALSE
-1204,1204,BNG(wine_quality),1,1,active,ARFF,,,,0,12,531441,0,0,12,0,12.29485965,0.168195248,FALSE
-1205,1205,BNG(Australian),1,1,active,ARFF,573051,2,426949,2,15,1000000,0,0,14,1,19.76568794,0.293580055,FALSE
-1206,1206,BNG(satellite_image),1,1,active,ARFF,,,,0,37,1000000,0,0,37,0,73.65295863,0.663394451,FALSE
-1207,1207,BNG(Ailerons),1,1,active,ARFF,,,,0,41,1000000,0,0,41,0,53.68441844,0.729108334,FALSE
-1208,1208,BNG(libras_move),1,1,active,ARFF,,,,0,91,1000000,0,0,91,0,166.3913138,1.598386765,FALSE
-1209,1209,BNG(vowel),2,1,active,ARFF,91406,15,90311,11,13,1000000,0,0,10,3,29.25509763,0.270222187,FALSE
-1210,1210,BNG(puma32H),1,1,active,ARFF,,,,0,33,1000000,0,0,33,0,83.77907085,0.623850107,FALSE
-1211,1211,BNG(SPECT),1,1,active,ARFF,791580,2,208420,2,23,1000000,0,0,0,23,37.02255464,0.1839993,FALSE
-1212,1212,BNG(SPECTF),1,1,active,ARFF,718700,2,281300,2,45,1000000,0,0,44,1,97.66016388,0.83059454,FALSE
-1213,1213,BNG(mv),1,1,active,ARFF,,3,,0,11,78732,0,0,8,3,2.103055954,0.054002047,FALSE
-1214,1214,BNG(JapaneseVowels),1,1,active,ARFF,160780,9,78122,9,15,1000000,0,0,14,1,30.8321507,0.298236847,FALSE
-1216,1216,Click_prediction_small,1,2,active,ARFF,1429610,2,66781,2,12,1496391,0,0,11,1,33.04780316,0.473982096,FALSE
-1217,1217,Click_prediction_small,2,2,active,ARFF,142949,2,6690,2,12,149639,0,0,11,1,3.157991171,0.080958605,FALSE
-1218,1218,Click_prediction_small,3,2,active,ARFF,1664406,2,333004,2,12,1997410,0,0,11,1,36.78473806,0.515304089,FALSE
-1219,1219,Click_prediction_small,4,2,active,ARFF,332393,2,67089,2,12,399482,0,0,11,1,11.76719236,0.136505842,FALSE
-1220,1220,Click_prediction_small,5,2,active,ARFF,33220,2,6728,2,12,39948,0,0,11,1,1.519001007,0.051729202,FALSE
-1222,1222,letter-challenge-unlabeled.arff,1,1,active,ARFF,10000,2,2760,3,17,20000,0,10000,16,1,0.812996387,0.047994375,FALSE
-1226,1226,Click_prediction_small,7,1,active,ARFF,399482,2,67089,3,12,798964,0,399482,11,1,17.27547336,0.268805504,FALSE
-1228,1228,nki70.arff,1,1,active,ARFF,,3,,0,77,144,0,0,73,4,0.259003878,0.04603672,FALSE
-1233,1233,eating,1,339,active,ARFF,140,7,119,7,6374,945,0,0,6373,1,11.93575168,0.503976345,FALSE
-1235,1235,Agrawal1,1,1,active,ARFF,672045,20,327955,2,10,1000000,0,0,6,4,20.24694824,0.1906178,FALSE
-1236,1236,Stagger1,1,1,active,ARFF,888391,3,111609,2,4,1000000,0,0,0,4,9.866400242,0.072039843,FALSE
-1237,1237,Stagger2,1,1,active,ARFF,555943,3,444057,2,4,1000000,0,0,0,4,11.30721903,0.072001457,FALSE
-1238,1238,Stagger3,1,1,active,ARFF,666429,3,333571,2,4,1000000,0,0,0,4,9.095007658,0.070963144,FALSE
-1240,1240,AirlinesCodrnaAdult,1,1,active,ARFF,603138,293,473652,2,30,1076790,4085,7275,13,17,51.49800372,0.409283161,FALSE
-1241,1241,codrnaNorm,1,1,active,Sparse_ARFF,325710,2,162855,2,9,488565,0,0,8,1,13.58870435,0.442040443,FALSE
-1242,1242,vehicleNorm,1,1,active,Sparse_ARFF,49264,2,49264,2,101,98528,0,0,100,1,31.41162419,1.258959293,FALSE
-1245,1245,lungcancer_shedden,1,29,active,ARFF,,2,,0,24,442,0,0,21,3,0.244130611,0.043998241,FALSE
-1351,1351,"BNG(anneal,1000,1)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,107.6500719,0.366679192,FALSE
-1352,1352,"BNG(anneal,1000,5)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,111.0701106,0.372600555,FALSE
-1353,1353,"BNG(anneal,1000,10)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,109.6708989,0.374656677,FALSE
-1354,1354,"BNG(anneal,5000,1)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,104.8030107,0.383928299,FALSE
-1355,1355,"BNG(anneal,5000,5)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,97.55733824,0.371903181,FALSE
-1356,1356,"BNG(anneal,5000,10)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,101.8739619,0.396617651,FALSE
-1357,1357,"BNG(anneal,10000,1)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,106.0144191,0.375547409,FALSE
-1358,1358,"BNG(anneal,10000,5)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,107.6158199,0.379322529,FALSE
-1359,1359,"BNG(anneal,10000,10)",1,1,active,ARFF,759652,10,555,6,39,1000000,0,0,6,33,96.4585638,0.375852346,FALSE
-1360,1360,"BNG(anneal.ORIG,1000,1)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,63.28635788,0.368424416,FALSE
-1361,1361,"BNG(anneal.ORIG,1000,5)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,54.74676418,0.36914587,FALSE
-1362,1362,"BNG(anneal.ORIG,1000,10)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,52.28589058,0.380009174,FALSE
-1363,1363,"BNG(anneal.ORIG,5000,1)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,50.33058691,0.384492636,FALSE
-1364,1364,"BNG(anneal.ORIG,5000,5)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,58.60992646,0.367228746,FALSE
-1365,1365,"BNG(anneal.ORIG,5000,10)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,51.18378162,0.370900869,FALSE
-1366,1366,"BNG(anneal.ORIG,10000,1)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,53.9498837,0.379801273,FALSE
-1367,1367,"BNG(anneal.ORIG,10000,5)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,54.78293514,0.371271133,FALSE
-1368,1368,"BNG(anneal.ORIG,10000,10)",1,1,active,ARFF,759652,9,555,6,39,1000000,0,0,6,33,56.16458082,0.383363247,FALSE
-1369,1369,"BNG(kr-vs-kp,1000,1)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,57.77506113,0.264999866,FALSE
-1370,1370,"BNG(kr-vs-kp,1000,5)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,52.45619655,0.265327215,FALSE
-1371,1371,"BNG(kr-vs-kp,1000,10)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,60.73167586,0.264816284,FALSE
-1372,1372,"BNG(kr-vs-kp,5000,1)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,51.62122869,0.263752937,FALSE
-1373,1373,"BNG(kr-vs-kp,5000,5)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,53.16085029,0.267999172,FALSE
-1374,1374,"BNG(kr-vs-kp,5000,10)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,54.66763616,0.263000011,FALSE
-1375,1375,"BNG(kr-vs-kp,10000,1)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,56.87151814,0.259305239,FALSE
-1376,1376,"BNG(kr-vs-kp,10000,5)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,60.63979888,0.258995056,FALSE
-1377,1377,"BNG(kr-vs-kp,10000,10)",1,1,active,ARFF,521875,3,478125,2,37,1000000,0,0,0,37,57.1481781,0.260141611,FALSE
-1378,1378,"BNG(letter,1000,1)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,30.4325583,0.310709476,FALSE
-1379,1379,"BNG(letter,1000,5)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,33.21067047,0.323447227,FALSE
-1380,1380,"BNG(letter,1000,10)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,29.66809845,0.31513834,FALSE
-1381,1381,"BNG(letter,5000,1)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,30.19346714,0.329999924,FALSE
-1382,1382,"BNG(letter,5000,5)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,30.60191274,0.320042133,FALSE
-1383,1383,"BNG(letter,5000,10)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,32.02559257,0.32066226,FALSE
-1384,1384,"BNG(letter,10000,1)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,27.67285657,0.317686319,FALSE
-1385,1385,"BNG(letter,10000,5)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,28.16275239,0.31913805,FALSE
-1386,1386,"BNG(letter,10000,10)",1,1,active,ARFF,40765,26,36811,26,17,1000000,0,0,16,1,37.6841476,0.320033789,FALSE
-1387,1387,"BNG(audiology,1000,1)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,107.48368,0.452999353,FALSE
-1388,1388,"BNG(audiology,1000,5)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,104.1743715,0.44699955,FALSE
-1389,1389,"BNG(audiology,1000,10)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,112.4540782,0.468999624,FALSE
-1390,1390,"BNG(audiology,5000,1)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,96.99915481,0.448031902,FALSE
-1391,1391,"BNG(audiology,5000,5)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,98.22261834,0.459083796,FALSE
-1392,1392,"BNG(audiology,5000,10)",1,1,active,ARFF,241431,24,6126,24,70,1000000,0,0,0,70,102.6375372,0.447032213,FALSE
-1393,1393,"BNG(autos,1000,1)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,50.89653468,0.370349407,FALSE
-1394,1394,"BNG(autos,1000,5)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,48.24448776,0.374172926,FALSE
-1395,1395,"BNG(autos,1000,10)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,46.80426598,0.355013371,FALSE
-1396,1396,"BNG(autos,5000,1)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,45.81763792,0.386805773,FALSE
-1397,1397,"BNG(autos,5000,5)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,45.37792397,0.368801594,FALSE
-1398,1398,"BNG(autos,5000,10)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,46.02889633,0.360043287,FALSE
-1399,1399,"BNG(autos,10000,1)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,50.19609761,0.359300375,FALSE
-1400,1400,"BNG(autos,10000,5)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,53.11079955,0.359925508,FALSE
-1401,1401,"BNG(autos,10000,10)",1,1,active,ARFF,323554,22,2441,7,26,1000000,0,0,15,11,45.51838636,0.371954918,FALSE
-1402,1402,"BNG(lymph,1000,1)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.65989304,0.237688303,FALSE
-1403,1403,"BNG(lymph,1000,5)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.99405956,0.235675335,FALSE
-1404,1404,"BNG(lymph,1000,10)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.83323741,0.254346132,FALSE
-1405,1405,"BNG(lymph,5000,1)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.61237955,0.241970778,FALSE
-1406,1406,"BNG(lymph,5000,5)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,29.2672565,0.243993998,FALSE
-1407,1407,"BNG(lymph,5000,10)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,29.71424007,0.230922937,FALSE
-1408,1408,"BNG(lymph,10000,1)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,31.31408238,0.231934309,FALSE
-1409,1409,"BNG(lymph,10000,5)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,29.42552495,0.235127687,FALSE
-1410,1410,"BNG(lymph,10000,10)",1,1,active,ARFF,543495,8,16508,4,19,1000000,0,0,3,16,28.85398507,0.231577396,FALSE
-1412,1412,lungcancer_GSE31210,1,29,active,ARFF,191,2,35,2,24,226,0,0,21,3,0.222011805,0.041025877,FALSE
-1413,1413,MyIris,1,379,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.199807167,0.039005518,FALSE
-1414,1414,Kaggle_bike_sharing_demand_challange,1,391,active,ARFF,,24,,0,12,10886,0,0,6,6,0.245917797,0.029008627,FALSE
-1419,1419,contact-lenses,1,255,active,ARFF,,3,,,5,24,0,0,0,5,0.185311317,0.041987419,FALSE
-1420,1420,cpu.with.vendor,1,255,active,ARFF,,30,,,8,209,0,0,7,1,0.19910121,0.034999609,FALSE
-1424,1424,a3a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.31354785,0.124007702,FALSE
-1425,1425,a4a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.404783487,0.128991604,FALSE
-1426,1426,a5a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.336078882,0.119971037,FALSE
-1427,1427,a6a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.431379557,0.120035172,FALSE
-1428,1428,a7a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.349961758,0.124994516,FALSE
-1429,1429,a8a,1,402,active,Sparse_ARFF,,,,0,124,32561,0,0,124,0,1.367096424,0.118006468,FALSE
-1430,1430,a9a,1,402,active,Sparse_ARFF,,,,0,124,48842,0,0,124,0,1.94018507,0.16900301,FALSE
-1432,1432,colon-cancer,1,402,active,Sparse_ARFF,,,,0,2001,62,0,0,2001,0,1.339045525,0.707993746,FALSE
-1433,1433,svmguide1,1,402,active,Sparse_ARFF,,,,0,5,7089,0,0,5,0,0.340996027,0.037998676,FALSE
-1434,1434,duke-breast-cancer,1,402,active,Sparse_ARFF,,,,0,7130,86,0,0,7130,0,5.299031019,2.349000454,FALSE
-1435,1435,fourclass,1,402,active,Sparse_ARFF,,,,0,3,862,0,0,3,0,0.208994389,0.034002066,FALSE
-1436,1436,german.numer,1,402,active,Sparse_ARFF,,,,0,25,1000,0,0,25,0,0.271003008,0.040994167,FALSE
-1441,1441,KungChi3,1,427,active,ARFF,107,2,16,2,40,123,0,0,39,1,0.23599267,0.068971634,FALSE
-1442,1442,MegaWatt1,1,427,active,ARFF,226,2,27,2,38,253,0,0,37,1,0.233003616,0.068995476,FALSE
-1443,1443,PizzaCutter1,1,427,active,ARFF,609,2,52,2,38,661,0,0,37,1,0.252026558,0.072029829,FALSE
-1444,1444,PizzaCutter3,1,427,active,ARFF,916,2,127,2,38,1043,0,0,37,1,0.302097559,0.071000576,FALSE
-1446,1446,CostaMadre1,2,427,active,ARFF,258,2,38,2,38,296,0,0,37,1,0.237056017,0.068999529,FALSE
-1447,1447,CastMetal1,1,427,active,ARFF,285,2,42,2,38,327,0,0,37,1,0.251464367,0.068001747,FALSE
-1448,1448,KnuggetChase3,1,427,active,ARFF,158,2,36,2,40,194,0,0,39,1,0.217053652,0.069998026,FALSE
-1449,1449,MeanWhile1,1,427,active,ARFF,226,2,27,2,38,253,0,0,37,1,0.246986866,0.068000078,FALSE
-1450,1450,MindCave2,1,427,active,ARFF,81,2,44,2,40,125,0,0,39,1,0.220000029,0.069999456,FALSE
-1451,1451,PieChart1,1,427,active,ARFF,644,2,61,2,38,705,0,0,37,1,0.278072119,0.069000244,FALSE
-1452,1452,PieChart2,1,427,active,ARFF,729,2,16,2,37,745,0,0,36,1,0.239967108,0.039000034,FALSE
-1453,1453,PieChart3,1,427,active,ARFF,943,2,134,2,38,1077,0,0,37,1,0.288772106,0.070000172,FALSE
-1455,1455,acute-inflammations,1,64,active,ARFF,70,2,50,2,7,120,0,0,1,6,0.196711779,0.045003891,FALSE
-1457,1457,amazon-commerce-reviews,1,64,active,ARFF,30,50,30,50,10001,1500,0,0,10000,1,11.63487697,0.901986837,FALSE
-1458,1458,arcene,1,64,active,ARFF,112,2,88,2,10001,200,0,0,10000,1,3.80278945,0.569337845,FALSE
-1459,1459,artificial-characters,1,64,active,ARFF,1416,10,600,10,8,10218,0,0,7,1,0.308013201,0.0450387,FALSE
-1460,1460,banana,1,64,active,ARFF,2924,2,2376,2,3,5300,0,0,2,1,0.225984097,0.036901951,FALSE
-1461,1461,bank-marketing,1,64,active,ARFF,39922,12,5289,2,17,45211,0,0,7,10,1.183992386,0.054975748,FALSE
-1462,1462,banknote-authentication,1,64,active,ARFF,762,2,610,2,5,1372,0,0,4,1,0.211997747,0.034024,FALSE
-1463,1463,blogger,1,64,active,ARFF,68,5,32,2,6,100,0,0,0,6,0.187997341,0.040974855,FALSE
-1464,1464,blood-transfusion-service-center,1,64,active,ARFF,570,2,178,2,5,748,0,0,4,1,0.189002037,0.035997152,FALSE
-1465,1465,breast-tissue,1,64,active,ARFF,22,6,14,6,10,106,0,0,9,1,0.216995478,0.037998199,FALSE
-1466,1466,cardiotocography,1,64,active,ARFF,579,10,53,10,36,2126,0,0,35,1,0.324619532,0.041000366,FALSE
-1467,1467,climate-model-simulation-crashes,1,64,active,ARFF,494,2,46,2,21,540,0,0,20,1,0.218242407,0.03799963,FALSE
-1468,1468,cnae-9,1,64,active,ARFF,120,9,120,9,857,1080,0,0,856,1,0.944112778,0.146512508,FALSE
-1471,1471,eeg-eye-state,1,64,active,ARFF,8257,2,6723,2,15,14980,0,0,14,1,0.540542603,0.045186281,FALSE
-1472,1472,energy-efficiency,1,64,active,ARFF,74,38,1,37,10,768,0,0,8,2,0.18301177,0.038000584,FALSE
-1473,1473,fertility,1,64,active,ARFF,88,2,12,2,10,100,0,0,9,1,0.21394825,0.035994053,FALSE
-1475,1475,first-order-theorem-proving,1,64,active,ARFF,2554,6,486,6,52,6118,0,0,51,1,0.635995388,0.049000025,FALSE
-1476,1476,gas-drift,1,64,active,ARFF,3009,6,1641,6,129,13910,0,0,128,1,3.807932854,0.081000328,FALSE
-1477,1477,gas-drift-different-concentrations,1,64,active,ARFF,3009,6,1641,6,130,13910,0,0,129,1,4.298204899,0.083005428,FALSE
-1478,1478,har,1,64,active,ARFF,1944,6,1406,6,562,10299,0,0,561,1,10.4385891,0.178325415,FALSE
-1479,1479,hill-valley,1,64,active,ARFF,606,2,606,2,101,1212,0,0,100,1,0.422996998,0.054666519,FALSE
-1480,1480,ilpd,1,64,active,ARFF,416,2,167,2,11,583,0,0,9,2,0.191999435,0.039485216,FALSE
-1481,1481,kr-vs-k,1,64,active,ARFF,4553,18,27,18,7,28056,0,0,3,4,0.556031942,0.046615362,FALSE
-1482,1482,leaf,1,64,active,ARFF,16,30,8,30,16,340,0,0,15,1,0.181971312,0.039989233,FALSE
-1483,1483,ldpa,1,64,active,ARFF,54480,11,1381,11,8,164860,0,0,5,3,2.593008041,0.063992023,FALSE
-1484,1484,lsvt,1,64,active,ARFF,84,2,42,2,311,126,0,0,310,1,0.362024069,0.062019825,FALSE
-1485,1485,madelon,1,64,active,ARFF,1300,2,1300,2,501,2600,0,0,500,1,1.860959768,0.111462831,FALSE
-1486,1486,nomao,1,64,active,ARFF,24621,3,9844,2,119,34465,0,0,89,30,4.279823303,0.121031523,FALSE
-1487,1487,ozone-level-8hr,1,64,active,ARFF,2374,2,160,2,73,2534,0,0,72,1,0.413669348,0.053280592,FALSE
-1488,1488,parkinsons,1,64,active,ARFF,147,2,48,2,23,195,0,0,22,1,0.204515696,0.04300046,FALSE
-1489,1489,phoneme,1,64,active,ARFF,3818,2,1586,2,6,5404,0,0,5,1,0.249122858,0.045999289,FALSE
-1490,1490,planning-relax,1,64,active,ARFF,130,2,52,2,13,182,0,0,12,1,0.189865828,0.037600994,FALSE
-1491,1491,one-hundred-plants-margin,1,64,active,ARFF,16,100,16,100,65,1600,0,0,64,1,0.328995466,0.051000118,FALSE
-1492,1492,one-hundred-plants-shape,1,64,active,ARFF,16,100,16,100,65,1600,0,0,64,1,0.355619907,0.053999662,FALSE
-1493,1493,one-hundred-plants-texture,1,64,active,ARFF,16,100,15,100,65,1599,0,0,64,1,0.322397947,0.049000263,FALSE
-1494,1494,qsar-biodeg,1,64,active,ARFF,699,2,356,2,42,1055,0,0,41,1,0.232992887,0.041999817,FALSE
-1495,1495,qualitative-bankruptcy,1,64,active,ARFF,143,3,107,2,7,250,0,0,0,7,0.20899725,0.038026333,FALSE
-1496,1496,ringnorm,1,64,active,ARFF,3736,2,3664,2,21,7400,0,0,20,1,0.449001789,0.042969704,FALSE
-1497,1497,wall-robot-navigation,1,64,active,ARFF,2205,4,328,4,25,5456,0,0,24,1,0.370074034,0.046035051,FALSE
-1498,1498,sa-heart,1,64,active,ARFF,302,2,160,2,10,462,0,0,8,2,0.196188927,0.034968853,FALSE
-1499,1499,seeds,1,64,active,ARFF,70,3,70,3,8,210,0,0,7,1,0.17188096,0.038000107,FALSE
-1500,1500,seismic-bumps,1,64,active,ARFF,70,3,70,3,8,210,0,0,7,1,0.189162254,0.035999775,FALSE
-1501,1501,semeion,1,64,active,ARFF,162,10,155,10,257,1593,0,0,256,1,0.506034613,0.084147692,FALSE
-1502,1502,skin-segmentation,1,64,active,ARFF,194198,2,50859,2,4,245057,0,0,3,1,1.819033146,0.071320534,FALSE
-1503,1503,spoken-arabic-digit,1,64,active,ARFF,26496,10,26124,10,15,263256,0,0,14,1,7.146191835,0.115522623,FALSE
-1504,1504,steel-plates-fault,1,64,active,ARFF,1268,2,673,2,34,1941,0,0,33,1,0.258996964,0.044075251,FALSE
-1506,1506,thoracic-surgery,1,64,active,ARFF,400,7,70,2,17,470,0,0,3,14,0.194256544,0.04496479,FALSE
-1507,1507,twonorm,1,64,active,ARFF,3703,2,3697,2,21,7400,0,0,20,1,0.49021101,0.040997982,FALSE
-1508,1508,user-knowledge,1,64,active,ARFF,129,5,24,5,6,403,0,0,5,1,0.190998316,0.035001755,FALSE
-1509,1509,walking-activity,1,64,active,ARFF,21991,22,911,22,5,149332,0,0,4,1,1.560586691,0.055998564,FALSE
-1510,1510,wdbc,1,64,active,ARFF,357,2,212,2,31,569,0,0,30,1,0.20526576,0.038001299,FALSE
-1511,1511,wholesale-customers,1,64,active,ARFF,298,3,142,2,9,440,0,0,7,2,0.19587779,0.037000895,FALSE
-1512,1512,heart-long-beach,1,64,active,ARFF,56,5,10,5,14,200,0,0,13,1,0.185004711,0.040999651,FALSE
-1513,1513,heart-switzerland,1,64,active,ARFF,48,5,5,5,13,123,0,0,12,1,0.189350605,0.036998987,FALSE
-1514,1514,micro-mass,1,64,active,ARFF,36,10,36,10,1301,360,0,0,1300,1,0.726053238,0.10503006,FALSE
-1515,1515,micro-mass,2,64,active,ARFF,60,20,11,20,1301,571,0,0,1300,1,0.846773863,0.112968922,FALSE
-1516,1516,robot-failures-lp1,1,64,active,ARFF,34,4,16,4,91,88,0,0,90,1,0.211999416,0.042031288,FALSE
-1517,1517,robot-failures-lp2,1,64,active,ARFF,20,5,5,5,91,47,0,0,90,1,0.209000349,0.042005301,FALSE
-1518,1518,robot-failures-lp3,1,64,active,ARFF,20,4,3,4,91,47,0,0,90,1,0.249031782,0.043993711,FALSE
-1519,1519,robot-failures-lp4,1,64,active,ARFF,72,3,21,3,91,117,0,0,90,1,0.241519928,0.042062044,FALSE
-1520,1520,robot-failures-lp5,1,64,active,ARFF,47,5,21,5,91,164,0,0,90,1,0.229000807,0.041972637,FALSE
-1523,1523,vertebra-column,1,64,active,ARFF,150,3,60,3,7,310,0,0,6,1,0.181059361,0.034999847,FALSE
-1524,1524,vertebra-column,2,64,active,ARFF,210,2,100,2,7,310,0,0,6,1,0.191994905,0.041000366,FALSE
-1525,1525,wall-robot-navigation,2,64,active,ARFF,2205,4,328,4,3,5456,0,0,2,1,0.254028559,0.034999371,FALSE
-1526,1526,wall-robot-navigation,3,64,active,ARFF,2205,4,328,4,5,5456,0,0,4,1,0.239970446,0.037997961,FALSE
-1527,1527,volcanoes-a1,1,64,active,ARFF,2952,5,58,5,4,3252,0,0,3,1,0.215992451,0.034000158,FALSE
-1528,1528,volcanoes-a2,1,64,active,ARFF,1471,5,29,5,4,1623,0,0,3,1,0.188355923,0.034002066,FALSE
-1529,1529,volcanoes-a3,1,64,active,ARFF,1369,5,29,5,4,1521,0,0,3,1,0.194686174,0.034999847,FALSE
-1530,1530,volcanoes-a4,1,64,active,ARFF,1365,5,29,5,4,1515,0,0,3,1,0.192436695,0.035999537,FALSE
-1531,1531,volcanoes-b1,1,64,active,ARFF,9791,5,26,5,4,10176,0,0,3,1,0.273997784,0.036000252,FALSE
-1532,1532,volcanoes-b2,1,64,active,ARFF,10285,5,26,5,4,10668,0,0,3,1,0.308997393,0.036000252,FALSE
-1533,1533,volcanoes-b3,1,64,active,ARFF,10006,5,25,5,4,10386,0,0,3,1,0.352027655,0.038001537,FALSE
-1534,1534,volcanoes-b4,1,64,active,ARFF,9805,5,26,5,4,10190,0,0,3,1,0.271963835,0.036999702,FALSE
-1535,1535,volcanoes-b5,1,64,active,ARFF,9599,5,26,5,4,9989,0,0,3,1,0.297766447,0.04599905,FALSE
-1536,1536,volcanoes-b6,1,64,active,ARFF,9746,5,26,5,4,10130,0,0,3,1,0.282995462,0.037002563,FALSE
-1537,1537,volcanoes-c1,1,64,active,ARFF,27895,5,71,5,4,28626,0,0,3,1,0.457999229,0.040996552,FALSE
-1538,1538,volcanoes-d1,1,64,active,ARFF,8265,5,56,5,4,8753,0,0,3,1,0.252356052,0.035002232,FALSE
-1539,1539,volcanoes-d2,1,64,active,ARFF,8670,5,56,5,4,9172,0,0,3,1,0.264158249,0.036999941,FALSE
-1540,1540,volcanoes-d3,1,64,active,ARFF,8771,5,58,5,4,9285,0,0,3,1,0.236969948,0.03800106,FALSE
-1541,1541,volcanoes-d4,1,64,active,ARFF,8163,5,56,5,4,8654,0,0,3,1,0.303995848,0.038998127,FALSE
-1542,1542,volcanoes-e1,1,64,active,ARFF,1083,5,9,5,4,1183,0,0,3,1,0.174995899,0.033999681,FALSE
-1543,1543,volcanoes-e2,1,64,active,ARFF,984,5,8,5,4,1080,0,0,3,1,0.205926657,0.034000635,FALSE
-1544,1544,volcanoes-e3,1,64,active,ARFF,1170,5,9,5,4,1277,0,0,3,1,0.181004763,0.03399992,FALSE
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-1546,1546,volcanoes-e5,1,64,active,ARFF,1010,5,9,5,4,1112,0,0,3,1,0.189924717,0.034000397,FALSE
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-1559,1559,breast-tissue,2,64,active,ARFF,49,4,14,4,10,106,0,0,9,1,0.187514305,0.037000656,FALSE
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-40477,40477,thyroid-allrep,1,64,active,ARFF,1632,5,31,5,27,2800,0,0,6,21,0.336736202,0.062004566,FALSE
-40478,40478,thyroid-dis,1,64,active,ARFF,1632,5,31,5,27,2800,0,0,6,21,0.3609972,0.055994987,FALSE
-40496,40496,LED-display-domain-7digit,1,64,active,ARFF,57,10,37,10,8,500,0,0,7,1,0.255972385,0.050004244,FALSE
-40497,40497,thyroid-ann,1,64,active,ARFF,3488,3,93,3,22,3772,0,0,21,1,0.30790925,0.055996656,FALSE
-40498,40498,wine-quality-white,1,64,active,ARFF,2198,7,5,7,12,4898,0,0,11,1,0.299227476,0.046001673,FALSE
-40499,40499,texture,1,64,active,ARFF,500,11,500,11,41,5500,0,0,40,1,0.609059811,0.051998615,FALSE
-40505,40505,treepipit,1,970,active,ARFF,,,,0,10,86,0,0,10,0,0.286058187,0.041000366,FALSE
-40514,40514,BNG(credit-g),2,1,active,arff,699774,11,300226,2,21,1000000,0,0,7,14,33.89578438,0.283002138,FALSE
-40515,40515,BNG(spambase),2,1,active,arff,605948,3,394052,2,58,1000000,0,0,0,58,87.65442705,0.426738262,FALSE
-40516,40516,BNG(optdigits),2,1,active,arff,101675,10,98637,10,65,1000000,0,0,0,65,99.27203059,0.486395836,FALSE
-40517,40517,20_newsgroups.drift,2,1,active,arff,379943,2,19997,2,1001,399940,0,0,0,1001,473.5019784,1.161280394,FALSE
-40518,40518,BNG(ionosphere),2,1,active,arff,641025,3,358975,2,35,1000000,0,0,0,35,57.21990871,0.268003941,FALSE
-40519,40519,BNG(segment),2,1,active,arff,143586,7,142366,7,20,1000000,0,0,0,20,32.15906811,0.16600275,FALSE
-40520,40520,BNG(anneal),2,1,active,arff,759652,10,555,6,39,1000000,0,0,6,33,58.17650771,0.382969618,FALSE
-40536,40536,SpeedDating,1,2,active,ARFF,6998,259,1380,2,123,8378,7330,18372,59,64,1.851832628,0.095000982,FALSE
-40588,40588,birds,3,2373,active,ARFF,631,12,14,2,279,645,0,0,258,21,0.612850428,0.085494757,FALSE
-40589,40589,emotions,3,2373,active,ARFF,420,2,173,2,78,593,0,0,72,6,0.317388296,0.049253225,FALSE
-40590,40590,enron,2,2373,active,ARFF,1676,2,26,2,1054,1702,0,0,0,1054,5.954636335,0.349460363,FALSE
-40591,40591,genbase,2,2373,active,ARFF,583,2,79,2,1213,662,0,0,0,1213,3.905372858,0.575006247,FALSE
-40592,40592,image,2,2373,active,ARFF,1591,2,409,2,140,2000,0,0,135,5,0.800508499,0.080000877,FALSE
-40593,40593,langLog,1,2373,active,ARFF,1441,2,19,2,1079,1460,0,0,1004,75,2.523807287,0.157997131,FALSE
-40594,40594,reuters,2,2373,active,ARFF,1169,2,831,2,250,2000,0,0,243,7,0.797396421,0.082998514,FALSE
-40595,40595,scene,4,2373,active,ARFF,1980,2,427,2,300,2407,0,0,294,6,1.852726221,0.091028929,FALSE
-40596,40596,slashdot,3,2373,active,ARFF,3707,2,75,2,1101,3782,0,0,1079,22,5.284152985,0.189227581,FALSE
-40597,40597,yeast,4,2373,active,ARFF,1655,2,762,2,117,2417,0,0,103,14,0.868997335,0.063001156,FALSE
-40601,40601,RAM_price,1,2,active,ARFF,,,,0,3,333,0,0,3,0,0.191601515,0.03800106,FALSE
-40645,40645,GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1,1,869,active,ARFF,800,3,800,2,1001,1600,0,0,0,1001,3.146942139,0.607034445,FALSE
-40646,40646,GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1,1,869,active,ARFF,800,3,800,2,21,1600,0,0,0,21,0.298804998,0.049001217,FALSE
-40647,40647,GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1,1,869,active,ARFF,800,3,800,2,21,1600,0,0,0,21,0.268003702,0.052998304,FALSE
-40648,40648,GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1,1,869,active,ARFF,800,3,800,2,21,1600,0,0,0,21,0.303959608,0.047934532,FALSE
-40649,40649,GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001,1,869,active,ARFF,800,3,800,2,21,1600,0,0,0,21,0.256642818,0.048315525,FALSE
-40650,40650,GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001,1,869,active,ARFF,800,3,800,2,21,1600,0,0,0,21,0.253256083,0.048771381,FALSE
-40660,40660,analcatdata_fraud,1,869,active,ARFF,29,9,13,2,12,42,0,0,0,12,0.199039459,0.041809559,FALSE
-40663,40663,calendarDOW,1,869,active,ARFF,96,10,44,5,33,399,0,0,12,21,0.220948696,0.053001404,FALSE
-40664,40664,car-evaluation,1,869,active,ARFF,1210,4,65,4,22,1728,0,0,0,22,0.289999962,0.050999403,FALSE
-40665,40665,clean1,1,869,active,ARFF,269,2,207,2,169,476,0,0,168,1,0.348997831,0.058000088,FALSE
-40666,40666,clean2,1,869,active,ARFF,5581,2,1017,2,169,6598,0,0,168,1,1.524415493,0.074002504,FALSE
-40668,40668,connect-4,2,869,active,ARFF,44473,3,6449,3,43,67557,0,0,0,43,3.930823803,0.097998857,FALSE
-40669,40669,corral,1,869,active,ARFF,90,2,70,2,7,160,0,0,0,7,0.213837624,0.044999361,FALSE
-40670,40670,dna,1,869,active,ARFF,1654,3,765,3,181,3186,0,0,0,181,1.099579096,0.182001114,FALSE
-40671,40671,ecoli,3,869,active,ARFF,143,5,20,5,8,327,0,0,7,1,0.209718704,0.041009665,FALSE
-40672,40672,fars,1,869,active,ARFF,42116,10,9,8,30,100968,0,0,14,16,3.430990934,0.091986179,FALSE
-40677,40677,led24,1,869,active,ARFF,337,10,296,10,25,3200,0,0,0,25,0.397358894,0.058002472,FALSE
-40678,40678,led7,1,869,active,ARFF,341,10,270,10,8,3200,0,0,0,8,0.233994484,0.051004171,FALSE
-40680,40680,mofn-3-7-10,1,869,active,ARFF,1032,2,292,2,11,1324,0,0,0,11,0.215001583,0.047032595,FALSE
-40681,40681,mux6,1,869,active,ARFF,64,2,64,2,7,128,0,0,0,7,0.206179142,0.043966293,FALSE
-40682,40682,thyroid-new,1,869,active,ARFF,150,3,30,3,6,215,0,0,5,1,0.192326784,0.041998148,FALSE
-40683,40683,postoperative-patient-data,3,869,active,ARFF,64,5,24,2,9,88,0,0,0,9,0.187065363,0.048002243,FALSE
-40685,40685,shuttle,1,869,active,ARFF,45586,7,10,7,10,58000,0,0,9,1,0.961190939,0.054996014,FALSE
-40686,40686,solar-flare,3,869,active,ARFF,88,6,21,5,13,315,0,0,0,13,0.244925022,0.048005581,FALSE
-40687,40687,solar-flare,4,869,active,ARFF,331,8,43,6,13,1066,0,0,0,13,0.200618744,0.044996262,FALSE
-40690,40690,threeOf9,1,869,active,ARFF,274,2,238,2,10,512,0,0,0,10,0.21539855,0.045999765,FALSE
-40691,40691,wine-quality-red,1,869,active,ARFF,681,6,10,6,12,1599,0,0,11,1,0.248431206,0.038003922,FALSE
-40693,40693,xd6,1,869,active,ARFF,651,2,322,2,10,973,0,0,0,10,0.239970446,0.039993525,FALSE
-40700,40700,cars1,1,869,active,ARFF,245,5,68,3,8,392,0,0,6,2,0.191026449,0.038000107,FALSE
-40701,40701,churn,1,869,active,ARFF,4293,10,707,2,21,5000,0,0,16,5,0.374661207,0.047998905,FALSE
-40702,40702,solar-flare,5,869,active,ARFF,884,6,182,2,11,1066,0,0,0,11,0.24995923,0.040000916,FALSE
-40704,40704,Titanic,2,869,active,ARFF,1490,2,711,2,4,2201,0,0,3,1,0.230667114,0.035000324,FALSE
-40705,40705,tokyo1,1,869,active,ARFF,613,2,346,2,45,959,0,0,42,3,0.266234398,0.043000221,FALSE
-40706,40706,parity5_plus_5,1,869,active,ARFF,567,2,557,2,11,1124,0,0,0,11,0.228998423,0.041007996,FALSE
-40707,40707,allbp,1,869,active,ARFF,3609,5,14,3,30,3772,0,0,6,24,0.417491198,0.054026842,FALSE
-40708,40708,allrep,1,869,active,ARFF,3648,5,34,4,30,3772,0,0,6,24,0.400793076,0.060964823,FALSE
-40709,40709,analcatdata_happiness,1,869,active,ARFF,20,5,20,3,4,60,0,0,1,3,0.184191942,0.036000252,FALSE
-40710,40710,cleve,1,869,active,ARFF,165,5,138,2,14,303,0,0,5,9,0.193459034,0.039003611,FALSE
-40711,40711,cleveland-nominal,1,869,active,ARFF,164,5,13,5,8,303,0,0,0,8,0.217000961,0.040030956,FALSE
-40713,40713,dis,1,869,active,ARFF,3714,5,58,2,30,3772,0,0,6,24,0.387025118,0.051968575,FALSE
-40714,40714,parity5,1,869,active,ARFF,16,2,16,2,6,32,0,0,0,6,0.213871717,0.039025545,FALSE
-40728,40728,Ceres-discovery-data,1,2992,active,ARFF,,,,,9,22,3,17,9,0,0.161352396,0.025969982,FALSE
-40753,40753,delays_zurich_transport,1,970,active,ARFF,,7,,0,15,5465575,132617,132617,11,1,169.6988206,2.855655432,FALSE
-40864,40864,Honey_bee_Seasonal_mortality,1,3452,active,ARFF,,4758,,,39,4758,0,0,1,38,0.233449459,0.245388031,TRUE
-40869,40869,pathogen_survey_dataset,3,3508,active,ARFF,,17,,,17,944,0,0,10,7,0.259989977,0.043265581,FALSE
-40900,40900,Satellite,1,3768,active,ARFF,5025,2,75,2,37,5100,0,0,36,1,0.457924843,0.047453403,FALSE
-40910,40910,Speech,1,3768,active,ARFF,3625,2,61,2,401,3686,0,0,400,1,3.489420652,0.100255251,FALSE
-40916,40916,HappinessRank_2015,1,3949,active,ARFF,,10,,0,12,158,0,0,10,2,0.184957504,0.039510727,FALSE
-40918,40918,Climate,1,3963,active,ARFF,,,,,4,577462,32651,64563,2,0,6.16500926,0.215456486,FALSE
-40920,40920,Climate,2,3963,active,ARFF,,,,,4,577462,32651,64563,2,0,6.633071184,0.212001085,FALSE
-40922,40922,Run_or_walk_information,1,3952,active,ARFF,44365,2,44223,2,7,88588,0,0,6,1,1.559002876,0.055999994,FALSE
-40923,40923,Devnagari-Script,1,3948,active,ARFF,2000,46,2000,46,1025,92000,0,0,1024,1,82.90495777,2.240623474,FALSE
-40926,40926,CIFAR_10_small,1,2,active,ARFF,2032,10,1937,10,3073,20000,0,0,3072,1,80.12877059,1.588955402,FALSE
-40927,40927,CIFAR_10,1,2,active,ARFF,6000,10,6000,10,3073,60000,0,0,3072,1,242.1209104,4.789370537,FALSE
-40945,40945,Titanic,1,2,active,ARFF,809,3,500,2,14,1309,1309,3855,6,3,0.245275497,0.04900074,FALSE
-40966,40966,MiceProtein,4,2,active,ARFF,150,8,105,8,82,1080,528,1396,77,5,0.523740292,0.094003677,FALSE
-40971,40971,collins,4,2,active,ARFF,80,30,6,30,24,1000,0,0,20,4,0.255945206,0.057999611,FALSE
-40975,40975,car,3,4265,active,ARFF,1210,4,65,4,7,1728,0,0,0,7,0.252465963,0.046002865,FALSE
-40976,40976,Bike,1,2,active,ARFF,,,,,11,4435,0,0,11,0,0.834439039,0.046992779,FALSE
-40978,40978,Internet-Advertisements,2,4265,active,ARFF,2820,2,459,2,1559,3279,0,0,3,1556,14.8521812,0.536034107,FALSE
-40979,40979,mfeat-pixel,3,4265,active,ARFF,200,10,200,10,241,2000,0,0,240,1,0.780434608,0.075738192,FALSE
-40981,40981,Australian,4,4265,active,ARFF,383,14,307,2,15,690,0,0,6,9,0.270404339,0.045588017,FALSE
-40982,40982,steel-plates-fault,3,4265,active,ARFF,673,7,55,7,28,1941,0,0,27,1,0.291998863,0.044188738,FALSE
-40983,40983,wilt,2,4265,active,ARFF,4578,2,261,2,6,4839,0,0,5,1,0.300856352,0.039597273,FALSE
-40984,40984,segment,3,4265,active,ARFF,330,7,330,7,20,2310,0,0,19,1,0.356210232,0.04592061,FALSE
-40985,40985,tamilnadu-electricity,3,4265,active,ARFF,2906,20,1397,20,4,45781,0,0,2,2,0.823307276,0.046731234,FALSE
-40992,40992,sylva_agnostic,2,4265,active,ARFF,,2,,,217,14395,0,0,40,177,7.850065708,0.152442694,FALSE
-40993,40993,ada_agnostic,2,4265,active,ARFF,,2,,,49,4562,0,0,6,43,0.859084368,0.067005873,FALSE
-40994,40994,climate-model-simulation-crashes,4,4265,active,ARFF,494,2,46,2,21,540,0,0,20,1,0.246234179,0.043000221,FALSE
-40996,40996,Fashion-MNIST,1,2506,active,ARFF,7000,10,7000,10,785,70000,0,0,784,1,53.18924046,1.011584759,FALSE
-40997,40997,jungle_chess_2pcs_endgame_panther_lion,1,1,active,arff,2523,3,145,3,47,4704,0,0,20,27,0.780990362,0.060002089,FALSE
-40998,40998,jungle_chess_2pcs_endgame_panther_lion,2,1,active,arff,2523,3,145,3,47,4704,0,0,20,27,0.668955088,0.060136557,FALSE
-40999,40999,jungle_chess_2pcs_endgame_elephant_elephant,1,1,active,arff,1316,3,1035,2,47,2351,0,0,20,27,0.476403713,0.057992935,FALSE
-41000,41000,jungle_chess_2pcs_endgame_panther_elephant,1,1,active,arff,2495,3,195,3,47,4704,0,0,20,27,0.66923666,0.060005188,FALSE
-41001,41001,jungle_chess_2pcs_endgame_complete,1,1,active,arff,23062,3,4335,3,47,44819,3528,10584,20,27,4.627326727,0.082754612,FALSE
-41002,41002,jungle_chess_2pcs_endgame_rat_panther,1,1,active,arff,2615,3,1338,3,47,5880,1176,3528,20,27,0.863594055,0.065970421,FALSE
-41003,41003,jungle_chess_2pcs_endgame_rat_elephant,1,1,active,arff,2917,3,772,3,47,5880,1176,3528,20,27,0.805404902,0.061030388,FALSE
-41004,41004,jungle_chess_2pcs_endgame_lion_elephant,1,1,active,arff,2079,3,1216,3,47,4704,0,0,20,27,0.7105093,0.061967611,FALSE
-41005,41005,jungle_chess_2pcs_endgame_rat_rat,1,1,active,arff,2055,3,1605,2,47,3660,0,0,20,27,0.561913967,0.059002399,FALSE
-41006,41006,jungle_chess_2pcs_endgame_rat_lion,1,1,active,arff,3078,3,380,3,47,5880,1176,3528,20,27,0.856548786,0.063003778,FALSE
-41007,41007,jungle_chess_2pcs_endgame_lion_lion,1,1,active,arff,1403,3,949,2,47,2352,0,0,20,27,0.433395863,0.074032545,FALSE
-41021,41021,Moneyball,2,2,active,ARFF,,39,,0,15,1232,1118,3600,9,6,0.230824947,0.048998356,FALSE
-41022,41022,Short_Track_Speed_Skating,2,2,active,ARFF,,,,,,,,,,,0.473145723,0.084000349,FALSE
-41026,41026,gisette,2,2,active,Sparse_ARFF,3500,2,3500,2,5001,7000,0,0,5000,1,171.9835935,7.622817755,FALSE
-41027,41027,jungle_chess_2pcs_raw_endgame_complete,1,1,active,arff,23062,3,4335,3,7,44819,0,0,6,1,0.556046009,0.051958323,FALSE
-41039,41039,EMNIST_Balanced,1,2506,active,ARFF,,47,,,785,131600,0,0,784,1,85.6445961,1.83529377,FALSE
-41065,41065,mnist_rotation,1,3002,active,ARFF,,,,0,785,62000,0,0,785,0,68.98996663,0.941143036,FALSE
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-41083,41083,Olivetti_Faces,1,2506,active,ARFF,10,40,10,40,4097,400,0,0,4096,1,2.962126017,0.35199523,FALSE
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-41103,41103,STL-10,1,2506,active,ARFF,1300,10,1300,10,27649,13000,0,0,27648,1,477.0108109,10.99099422,FALSE
-41138,41138,APSFailure,1,869,active,ARFF,74625,2,1375,2,171,76000,75244,1078695,170,1,19.65018201,0.321001768,FALSE
-41142,41142,christine,1,1478,active,ARFF,2709,2,2709,2,1637,5418,0,0,1599,38,17.85378504,0.367381096,FALSE
-41143,41143,jasmine,1,1478,active,ARFF,1492,2,1492,2,145,2984,0,0,8,137,1.495527267,0.128002167,FALSE
-41144,41144,madeline,1,1478,active,ARFF,1579,2,1561,2,260,3140,0,0,259,1,1.547117472,0.089996576,FALSE
-41145,41145,philippine,1,1478,active,ARFF,2916,2,2916,2,309,5832,0,0,308,1,3.951135635,0.12500453,FALSE
-41146,41146,sylvine,1,1478,active,ARFF,2562,2,2562,2,21,5124,0,0,20,1,0.411032677,0.052998781,FALSE
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-41150,41150,MiniBooNE,1,869,active,ARFF,93565,2,36499,2,51,130064,0,0,50,1,12.78255725,0.193999767,FALSE
-41156,41156,ada,1,1478,active,ARFF,3118,2,1029,2,49,4147,0,0,48,1,0.435109854,0.05300498,FALSE
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-41158,41158,gina,1,1478,active,ARFF,1603,2,1550,2,971,3153,0,0,970,1,4.375994205,0.200003624,FALSE
-41159,41159,guillermo,1,1478,active,ARFF,11997,2,8003,2,4297,20000,0,0,4296,1,293.4171319,2.319027424,FALSE
-41160,41160,rl,1,1478,active,ARFF,28411,2580,2995,2,23,31406,17204,29756,8,15,3.191365242,0.113968372,FALSE
-41161,41161,riccardo,1,1478,active,ARFF,15000,2,5000,2,4297,20000,0,0,4296,1,283.8289442,2.395998478,FALSE
-41162,41162,kick,1,1478,active,ARFF,64007,1063,8976,2,33,72983,69709,149271,14,19,6.706108093,0.102000475,FALSE
-41163,41163,dilbert,1,1478,active,ARFF,2049,5,1913,5,2001,10000,0,0,2000,1,47.26322675,0.631331205,FALSE
-41164,41164,fabert,1,1478,active,ARFF,1927,7,502,7,801,8237,0,0,800,1,7.70421958,0.226507902,FALSE
-41165,41165,robert,1,1478,active,ARFF,1043,10,958,10,7201,10000,0,0,7200,1,315.1577442,2.219568014,FALSE
-41166,41166,volkert,1,1478,active,ARFF,12806,10,1361,10,181,58310,0,0,180,1,17.10858536,0.246273041,FALSE
-41167,41167,dionis,1,1478,active,ARFF,2469,355,878,355,61,416188,0,0,60,1,46.22616935,0.504606962,FALSE
-41168,41168,jannis,1,1478,active,ARFF,38522,4,1687,4,55,83733,0,0,54,1,10.28759623,0.128999949,FALSE
-41169,41169,helena,1,1478,active,ARFF,4005,100,111,100,28,65196,0,0,27,1,3.981810331,0.075001478,FALSE
-41170,41170,TUPRASBoilerData,1,6363,active,ARFF,,44643,,,8,44643,44643,44643,7,1,2.680412054,0.326784372,FALSE
-41187,41187,mauna-loa-atmospheric-co2,1,6403,active,ARFF,,1,,0,7,2225,0,0,6,1,0.218031883,0.041534901,FALSE
-41197,41197,ozone,1,3508,active,ARFF,,,,,,,,,,,0.21096921,0.079752445,FALSE
-41228,41228,Klaverjas2018,1,1,active,arff,528339,2,453202,2,33,981541,0,0,32,1,30.16231966,1.323995829,FALSE
-41265,41265,Titanic,4,5243,active,ARFF,,,,0,8,1307,0,0,8,0,0.245351791,0.046000957,FALSE
-41463,41463,sarcasm_detection,1,7959,active,ARFF,,,,0,2,91298,0,0,1,0,2.580105305,0.211930513,FALSE
-41464,41464,birds,4,2373,active,ARFF,,12,,,279,645,0,0,258,21,0.587460279,0.086508512,FALSE
-41465,41465,emotions,4,2373,active,ARFF,,2,,,78,593,0,0,72,6,0.342593431,0.058437347,FALSE
-41466,41466,enron,3,2373,active,ARFF,,2,,,1054,1702,0,0,0,1054,5.693568468,0.446821213,FALSE
-41467,41467,genbase,3,2373,active,ARFF,,2,,,1212,662,0,0,0,1212,3.952466011,0.563030958,FALSE
-41468,41468,image,3,2373,active,ARFF,,2,,,140,2000,0,0,135,5,0.817914724,0.064024925,FALSE
-41469,41469,langLog,2,2373,active,ARFF,,2,,,1079,1460,0,0,1004,75,2.490360022,0.161999226,FALSE
-41470,41470,reuters,3,2373,active,ARFF,,2,,,250,2000,0,0,243,7,0.813339233,0.076001406,FALSE
-41471,41471,scene,5,2373,active,ARFF,,2,,,300,2407,0,0,294,6,1.766766071,0.090255499,FALSE
-41472,41472,slashdot,4,2373,active,ARFF,,2,,,1101,3782,0,0,1079,22,5.122065306,0.22730279,FALSE
-41473,41473,yeast,8,2373,active,ARFF,,2,,,117,2417,0,0,103,14,0.936617613,0.069995642,FALSE
-41474,41474,andro,2,2373,active,ARFF,,,,,36,49,0,0,36,0,0.19984436,0.049393654,FALSE
-41475,41475,atp1d,2,2373,active,ARFF,,,,,417,337,0,0,417,0,0.404807568,0.086587906,FALSE
-41476,41476,atp7d,2,2373,active,ARFF,,,,,417,296,0,0,417,0,0.372243643,0.085997581,FALSE
-41477,41477,edm,2,2373,active,ARFF,,,,,18,154,0,0,18,0,0.192135096,0.042000294,FALSE
-41478,41478,enb,2,2373,active,ARFF,,,,,10,768,0,0,10,0,0.187998533,0.043001175,FALSE
-41479,41479,jura,2,2373,active,ARFF,,,,,18,359,0,0,18,0,0.220963717,0.042999983,FALSE
-41482,41482,osales,2,2373,active,ARFF,,,,,413,639,639,10012,413,0,0.449987173,0.095005751,FALSE
-41483,41483,rf1,2,2373,active,ARFF,,,,,72,9125,120,3264,72,0,0.7506423,0.061997414,FALSE
-41484,41484,rf2,2,2373,active,ARFF,,,,,584,9125,1446,356160,584,0,3.44966197,0.197540283,FALSE
-41485,41485,scm1d,2,2373,active,ARFF,,,,,296,9803,0,0,296,0,3.721386194,0.138999701,FALSE
-41486,41486,scm20d,2,2373,active,ARFF,,,,,77,8966,0,0,77,0,1.195150375,0.060003996,FALSE
-41487,41487,scpf,2,2373,active,ARFF,,,,,26,1137,994,9255,26,0,0.240502596,0.045003653,FALSE
-41488,41488,sf1,2,2373,active,ARFF,,6,,,13,323,0,0,3,10,0.208684683,0.048993111,FALSE
-41489,41489,sf2,2,2373,active,ARFF,,6,,,13,1066,0,0,3,10,0.234633446,0.043004513,FALSE
-41490,41490,slump,2,2373,active,ARFF,,,,,10,103,0,0,10,0,0.196028233,0.040023327,FALSE
-41491,41491,wq,2,2373,active,ARFF,,,,,30,1060,0,0,30,0,0.233615398,0.047003746,FALSE
-41492,41492,youtube,2,2373,active,ARFF,,2,,,31,404,0,0,30,1,0.210603952,0.042967558,FALSE
-41496,41496,DRSongsLyrics,1,8159,active,ARFF,179,2,179,2,2,358,0,0,0,1,0.325427055,0.046932697,FALSE
-41506,41506,NewFuelCar,1,8129,active,ARFF,,,,0,18,36203,8971,8971,18,0,1.074579477,0.068333626,FALSE
-41510,41510,iris,9,348,active,ARFF,,3,,,5,150,0,0,4,1,0.185710192,0.039053202,FALSE
-41511,41511,iris,10,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.175515413,0.042038679,FALSE
-41514,41514,Diabetes(scikit-learn),1,2,active,arff,,,,0,11,442,0,0,11,0,0.199727297,0.043419361,FALSE
-41515,41515,Diabetes(scikit-learn),2,2,active,arff,,,,0,11,442,0,0,11,0,0.190143585,0.042474508,FALSE
-41516,41516,Diabetes(scikit-learn),3,2,active,arff,,,,0,11,442,0,0,11,0,0.179642916,0.043016672,FALSE
-41517,41517,Diabetes(scikit-learn),4,2,active,arff,,,,0,11,442,0,0,11,0,0.217387676,0.040983677,FALSE
-41518,41518,Diabetes(scikit-learn),5,2,active,arff,,,,0,11,442,0,0,11,0,0.206864357,0.041001558,FALSE
-41519,41519,Diabetes(scikit-learn),6,2,active,arff,,,,0,11,442,0,0,11,0,0.214002609,0.04002738,FALSE
-41521,41521,Weather,1,2,active,arff,9,3,5,2,5,14,0,0,2,3,0.175186157,0.040970325,FALSE
-41523,41523,test_dataset,3,8229,active,ARFF,,,,0,61,15547,14,280,61,0,1.17223382,0.066998243,FALSE
-41524,41524,test_dataset,4,8229,active,ARFF,,,,0,61,15547,14,280,61,0,1.171655655,0.062999487,FALSE
-41525,41525,test_dataset,5,8229,active,ARFF,,,,0,61,15547,14,280,61,0,1.174009562,0.069006443,FALSE
-41526,41526,test_dataset,6,8229,active,ARFF,7965,2,7582,2,61,15547,14,280,60,1,1.154709101,0.073007822,FALSE
-41533,41533,Domainome,1,8231,active,arff,1059,,14,3,9839,1637,1637,13231887,9838,0,8.365811825,1.375014544,FALSE
-41538,41538,conference_attendance,1,8263,active,ARFF,215,7,31,2,7,246,0,0,0,7,0.214653015,0.051003933,FALSE
-41539,41539,rainfall_bangladesh,3,5243,active,ARFF,,33,,0,4,16755,0,0,2,2,0.419957161,0.050974607,FALSE
-41540,41540,black_friday,1,5243,active,ARFF,,7,,0,10,166821,0,0,6,4,2.275612831,0.081990719,FALSE
-41542,41542,CD4,1,8295,active,ARFF,,,,,62,16484,0,0,62,0,0.835915327,0.071614504,FALSE
-41544,41544,Weather,2,2,active,arff,9,3,5,2,5,14,0,0,2,3,0.19073987,0.040287018,FALSE
-41545,41545,emotions,5,2373,active,ARFF,,2,,,78,593,0,0,72,6,0.361774445,0.053027391,FALSE
-41546,41546,image,4,2373,active,ARFF,,2,,,140,2000,0,0,135,5,0.784114599,0.064381838,FALSE
-41547,41547,reuters,4,2373,active,ARFF,,2,,,250,2000,0,0,243,7,0.808623075,0.099778891,FALSE
-41548,41548,scene,6,2373,active,ARFF,,2,,,300,2407,0,0,294,6,1.770699024,0.155997276,FALSE
-41549,41549,andro,3,2373,active,ARFF,,,,,36,49,0,0,36,0,0.192148685,0.052000999,FALSE
-41550,41550,atp1d,3,2373,active,ARFF,,,,,417,337,0,0,417,0,0.419855356,0.097002506,FALSE
-41551,41551,atp7d,3,2373,active,ARFF,,,,,417,296,0,0,417,0,0.395999908,0.090997458,FALSE
-41552,41552,edm,3,2373,active,ARFF,,,,,18,154,0,0,18,0,0.174999952,0.055020094,FALSE
-41553,41553,enb,3,2373,active,ARFF,,,,,10,768,0,0,10,0,0.189646482,0.055979013,FALSE
-41554,41554,jura,3,2373,active,ARFF,,,,,18,359,0,0,18,0,0.19417882,0.055998325,FALSE
-41555,41555,scpf,3,2373,active,ARFF,,,,,26,1137,994,9255,26,0,0.258861542,0.058003426,FALSE
-41556,41556,sf1,3,2373,active,ARFF,,6,,,13,323,0,0,3,10,0.207362652,0.056047201,FALSE
-41557,41557,sf2,3,2373,active,ARFF,,6,,,13,1066,0,0,3,10,0.214589357,0.055954456,FALSE
-41558,41558,slump,3,2373,active,ARFF,,,,,10,103,0,0,10,0,0.17630887,0.041996002,FALSE
-41559,41559,youtube,3,2373,active,ARFF,,2,,,31,404,0,0,30,1,0.228136301,0.092020273,FALSE
-41567,41567,iris,11,348,active,ARFF,,3,,,5,150,0,0,4,1,0.193632364,0.039983273,FALSE
-41568,41568,iris,12,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.190478325,0.042000294,FALSE
-41582,41582,iris,13,348,active,ARFF,,3,,,5,150,0,0,4,1,0.199957848,0.040001392,FALSE
-41583,41583,iris,14,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.19131279,0.041998386,FALSE
-41668,41668,mj,1,8456,active,ARFF,,2,,,2,8,0,0,0,1,0.196988583,0.03972888,FALSE
-41669,41669,mom,1,8456,active,ARFF,,3,,,4,140,0,0,3,1,0.179643631,0.040999651,FALSE
-41671,41671,microaggregation2,1,8569,active,ARFF,11162,5,743,5,21,20000,0,0,20,1,0.728729248,0.051997662,FALSE
-41672,41672,airlines,2,8287,active,ARFF,299119,293,240264,2,8,539383,0,0,3,5,9.488520861,0.125003338,FALSE
-41674,41674,Weather,3,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.214860201,0.043002129,FALSE
-41675,41675,Weather,4,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.170128107,0.041994333,FALSE
-41679,41679,Weather,5,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.184475422,0.040063381,FALSE
-41680,41680,Weather,6,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.170367479,0.046035051,FALSE
-41682,41682,Weather,7,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.181723833,0.039374352,FALSE
-41684,41684,Weather,8,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.200393438,0.040586948,FALSE
-41685,41685,Weather,9,8713,active,arff,9,3,5,2,5,14,0,0,2,3,0.200048923,0.036966085,FALSE
-41700,41700,CPMP-2015-regression,1,8316,active,ARFF,,4,,0,27,2108,0,0,24,2,0.375434637,0.050131798,FALSE
-41701,41701,CPMP-2015-classification,1,8316,active,ARFF,208,4,78,4,27,527,0,0,24,2,0.232551336,0.04511261,FALSE
-41702,41702,MIP-2016-regression,1,8316,active,ARFF,,5,,0,148,1090,0,0,145,2,0.464098215,0.066640615,FALSE
-41703,41703,MIP-2016-classification,1,8316,active,ARFF,84,5,1,5,148,218,0,0,145,2,0.295067549,0.056062937,FALSE
-41704,41704,ASP-POTASSCO-regression,1,8316,active,ARFF,,11,,0,143,14234,2398,200838,140,2,2.917348146,0.107598305,FALSE
-41705,41705,ASP-POTASSCO-classification,1,8316,active,ARFF,258,11,21,11,143,1294,218,18258,140,2,0.556344986,0.06371212,FALSE
-41707,41707,FOREX_usddkk-day-High,1,1,active,arff,940,2,892,2,12,1832,0,0,11,1,0.204672337,0.031004906,FALSE
-41708,41708,FOREX_eurchf-minute-Close,1,1,active,arff,194808,2,181032,2,12,375840,0,0,11,1,2.943941355,0.031076431,FALSE
-41709,41709,FOREX_audchf-hour-High,1,1,active,arff,22481,2,21344,2,12,43825,0,0,11,1,0.550057888,0.029956341,FALSE
-41710,41710,FOREX_eurhkd-minute-High,1,1,active,arff,201397,2,174443,2,12,375840,0,0,11,1,2.882104397,0.028000832,FALSE
-41711,41711,FOREX_eurusd-minute-Close,1,1,active,arff,193844,2,181996,2,12,375840,0,0,11,1,2.725591421,0.031003475,FALSE
-41712,41712,FOREX_eurcad-hour-High,1,1,active,arff,22751,2,21074,2,12,43825,0,0,11,1,0.525113106,0.027992487,FALSE
-41713,41713,FOREX_eurnzd-day-High,1,1,active,arff,955,2,877,2,12,1832,0,0,11,1,0.186349154,0.024999619,FALSE
-41714,41714,FOREX_eurpln-minute-High,1,1,active,arff,212917,2,162923,2,12,375840,0,0,11,1,2.488182306,0.027001381,FALSE
-41715,41715,FOREX_eurhuf-hour-High,1,1,active,arff,26892,2,16933,2,12,43825,0,0,11,1,0.571948767,0.024998426,FALSE
-41716,41716,FOREX_eurcad-day-Close,1,1,active,arff,950,2,884,2,12,1834,0,0,11,1,0.176000118,0.027002096,FALSE
-41717,41717,FOREX_usdjpy-minute-High,1,1,active,arff,208744,2,167096,2,12,375840,0,0,11,1,2.582501888,0.026996613,FALSE
-41718,41718,FOREX_audjpy-hour-High,1,1,active,arff,22571,2,21254,2,12,43825,0,0,11,1,0.601316929,0.029002905,FALSE
-41719,41719,FOREX_eurjpy-day-High,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.194442749,0.027999401,FALSE
-41720,41720,FOREX_eurusd-day-High,1,1,active,arff,957,2,880,2,12,1837,0,0,11,1,0.178535938,0.028035641,FALSE
-41721,41721,FOREX_audcad-day-High,1,1,active,arff,931,2,903,2,12,1834,0,0,11,1,0.195661783,0.026994228,FALSE
-41722,41722,FOREX_usdjpy-day-Close,1,1,active,arff,933,2,902,2,12,1835,0,0,11,1,0.188504934,0.03284812,FALSE
-41723,41723,FOREX_cadchf-hour-High,1,1,active,arff,22417,2,21408,2,12,43825,0,0,11,1,0.530483484,0.031047821,FALSE
-41724,41724,FOREX_chfjpy-day-Close,1,1,active,arff,921,2,911,2,12,1832,0,0,11,1,0.196619272,0.027972221,FALSE
-41725,41725,FOREX_eurcad-day-High,1,1,active,arff,933,2,901,2,12,1834,0,0,11,1,0.19114089,0.028033972,FALSE
-41726,41726,FOREX_audusd-day-High,1,1,active,arff,958,2,876,2,12,1834,0,0,11,1,0.209509134,0.026355267,FALSE
-41727,41727,FOREX_usdcad-hour-Close,1,1,active,arff,21939,2,21886,2,12,43825,0,0,11,1,0.528357267,0.030425072,FALSE
-41728,41728,FOREX_cadjpy-minute-High,1,1,active,arff,201286,2,174554,2,12,375840,0,0,11,1,2.739140987,0.028993368,FALSE
-41729,41729,FOREX_chfjpy-minute-Close,1,1,active,arff,192834,2,183006,2,12,375840,0,0,11,1,2.789504051,0.030972242,FALSE
-41730,41730,FOREX_usdchf-day-High,1,1,active,arff,919,2,916,2,12,1835,0,0,11,1,0.183204889,0.026997805,FALSE
-41731,41731,FOREX_eursek-day-High,1,1,active,arff,946,2,891,2,12,1837,0,0,11,1,0.193010807,0.027000666,FALSE
-41732,41732,FOREX_usdjpy-minute-Close,1,1,active,arff,196755,2,179085,2,12,375840,0,0,11,1,2.69469738,0.028000116,FALSE
-41733,41733,FOREX_eurhkd-day-High,1,1,active,arff,960,2,872,2,12,1832,0,0,11,1,0.176301241,0.024998903,FALSE
-41734,41734,FOREX_eurpln-hour-Close,1,1,active,arff,22174,2,21651,2,12,43825,0,0,11,1,0.568436146,0.029000759,FALSE
-41735,41735,FOREX_eurcad-minute-Close,1,1,active,arff,190902,2,184938,2,12,375840,0,0,11,1,2.780497074,0.02600193,FALSE
-41736,41736,FOREX_eurhuf-hour-Close,1,1,active,arff,26622,2,17203,2,12,43825,0,0,11,1,0.528137922,0.028998613,FALSE
-41737,41737,FOREX_audusd-day-Close,1,1,active,arff,922,2,912,2,12,1834,0,0,11,1,0.17787981,0.038002968,FALSE
-41738,41738,FOREX_chfsgd-minute-High,1,1,active,arff,200426,2,175414,2,12,375840,0,0,11,1,2.526081085,0.029002905,FALSE
-41739,41739,FOREX_eurhkd-hour-High,1,1,active,arff,23386,2,20439,2,12,43825,0,0,11,1,0.531295061,0.028893948,FALSE
-41740,41740,FOREX_audchf-day-Close,1,1,active,arff,925,2,908,2,12,1833,0,0,11,1,0.208899736,0.029529095,FALSE
-41741,41741,FOREX_eursgd-minute-High,1,1,active,arff,198468,2,177372,2,12,375840,0,0,11,1,2.649554253,0.026887655,FALSE
-41742,41742,FOREX_eurgbp-hour-High,1,1,active,arff,23024,2,20801,2,12,43825,0,0,11,1,0.548301697,0.030026197,FALSE
-41743,41743,FOREX_eurpln-minute-Close,1,1,active,arff,211424,2,164416,2,12,375840,0,0,11,1,2.539094448,0.030003071,FALSE
-41744,41744,FOREX_eurrub-day-High,1,1,active,arff,944,2,888,2,12,1832,0,0,11,1,0.224623442,0.027968645,FALSE
-41745,41745,FOREX_chfjpy-minute-High,1,1,active,arff,200138,2,175702,2,12,375840,0,0,11,1,2.698144913,0.027000666,FALSE
-41746,41746,FOREX_cadchf-day-High,1,1,active,arff,945,2,886,2,12,1831,0,0,11,1,0.216429234,0.026998997,FALSE
-41747,41747,FOREX_audnzd-minute-Close,1,1,active,arff,192862,2,182978,2,12,375840,0,0,11,1,2.620769024,0.028999805,FALSE
-41748,41748,FOREX_usddkk-minute-Close,1,1,active,arff,191331,2,184509,2,12,375840,0,0,11,1,3.02046442,0.028001308,FALSE
-41749,41749,FOREX_gbpusd-minute-High,1,1,active,arff,204880,2,170960,2,12,375840,0,0,11,1,2.743784428,0.027998924,FALSE
-41750,41750,FOREX_eurhuf-day-Close,1,1,active,arff,929,2,905,2,12,1834,0,0,11,1,0.201568127,0.02601862,FALSE
-41751,41751,FOREX_eurnok-minute-Close,1,1,active,arff,198803,2,177037,2,12,375840,0,0,11,1,2.668772697,0.02898097,FALSE
-41752,41752,FOREX_eurjpy-minute-Close,1,1,active,arff,191775,2,184065,2,12,375840,0,0,11,1,2.926694632,0.0260005,FALSE
-41753,41753,FOREX_usdcad-day-High,1,1,active,arff,921,2,912,2,12,1833,0,0,11,1,0.192641735,0.026001692,FALSE
-41754,41754,FOREX_eurjpy-day-Close,1,1,active,arff,936,2,896,2,12,1832,0,0,11,1,0.236799717,0.02799964,FALSE
-41755,41755,FOREX_cadchf-minute-Close,1,1,active,arff,195380,2,180460,2,12,375840,0,0,11,1,2.75451231,0.036002398,FALSE
-41756,41756,FOREX_audsgd-day-High,1,1,active,arff,930,2,902,2,12,1832,0,0,11,1,0.198963165,0.042182684,FALSE
-41757,41757,FOREX_usdchf-minute-Close,1,1,active,arff,197528,2,178312,2,12,375840,0,0,11,1,2.518333912,0.043987751,FALSE
-41758,41758,FOREX_eursgd-hour-Close,1,1,active,arff,22080,2,21745,2,12,43825,0,0,11,1,0.540544033,0.036818743,FALSE
-41759,41759,FOREX_eurtry-hour-High,1,1,active,arff,22856,2,20969,2,12,43825,0,0,11,1,0.561162233,0.040005207,FALSE
-41760,41760,FOREX_eurhuf-day-High,1,1,active,arff,953,2,881,2,12,1834,0,0,11,1,0.182999372,0.030644417,FALSE
-41761,41761,FOREX_eursek-minute-Close,1,1,active,arff,197356,2,178484,2,12,375840,0,0,11,1,2.580665112,0.036031961,FALSE
-41762,41762,FOREX_audsgd-hour-Close,1,1,active,arff,22091,2,21734,2,12,43825,0,0,11,1,0.551884651,0.033985615,FALSE
-41763,41763,FOREX_audcad-hour-High,1,1,active,arff,22556,2,21269,2,12,43825,0,0,11,1,0.524773836,0.031013012,FALSE
-41764,41764,FOREX_gbpusd-day-High,1,1,active,arff,937,2,897,2,12,1834,0,0,11,1,0.206101894,0.025998831,FALSE
-41765,41765,FOREX_eurtry-day-Close,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.199558735,0.028000116,FALSE
-41766,41766,FOREX_eurgbp-day-High,1,1,active,arff,938,2,897,2,12,1835,0,0,11,1,0.195044756,0.028014183,FALSE
-41767,41767,FOREX_cadjpy-hour-Close,1,1,active,arff,22035,2,21790,2,12,43825,0,0,11,1,0.569623947,0.027000427,FALSE
-41768,41768,FOREX_eurnok-hour-High,1,1,active,arff,23048,2,20777,2,12,43825,0,0,11,1,0.551521301,0.027999401,FALSE
-41769,41769,FOREX_audcad-day-Close,1,1,active,arff,935,2,899,2,12,1834,0,0,11,1,0.166114807,0.027999878,FALSE
-41770,41770,FOREX_audjpy-minute-High,1,1,active,arff,202222,2,173618,2,12,375840,0,0,11,1,2.849295378,0.026063442,FALSE
-41771,41771,FOREX_eurtry-minute-Close,1,1,active,arff,200399,2,175441,2,12,375840,0,0,11,1,2.726951599,0.027936935,FALSE
-41772,41772,FOREX_audchf-minute-High,1,1,active,arff,200975,2,174865,2,12,375840,0,0,11,1,2.732774019,0.027000666,FALSE
-41773,41773,FOREX_eurtry-hour-Close,1,1,active,arff,22193,2,21632,2,12,43825,0,0,11,1,0.603952408,0.03000164,FALSE
-41774,41774,FOREX_eurhuf-minute-High,1,1,active,arff,276139,2,99701,2,12,375840,0,0,11,1,1.863151073,0.03903532,FALSE
-41775,41775,FOREX_usdcad-minute-Close,1,1,active,arff,193327,2,182513,2,12,375840,0,0,11,1,2.624313831,0.042967796,FALSE
-41776,41776,FOREX_eurhkd-minute-Close,1,1,active,arff,191557,2,184283,2,12,375840,0,0,11,1,3.036186218,0.038038731,FALSE
-41777,41777,FOREX_eurjpy-hour-High,1,1,active,arff,22982,2,20843,2,12,43825,0,0,11,1,0.581252098,0.039051533,FALSE
-41778,41778,FOREX_eurdkk-minute-High,1,1,active,arff,244742,2,131098,2,12,375840,0,0,11,1,1.824064016,0.037075281,FALSE
-41779,41779,FOREX_eursek-hour-High,1,1,active,arff,22632,2,21193,2,12,43825,0,0,11,1,0.594516277,0.028075933,FALSE
-41780,41780,FOREX_usdchf-hour-High,1,1,active,arff,22656,2,21169,2,12,43825,0,0,11,1,0.548159599,0.029967546,FALSE
-41781,41781,FOREX_audcad-hour-Close,1,1,active,arff,21995,2,21830,2,12,43825,0,0,11,1,0.508551359,0.025998592,FALSE
-41782,41782,FOREX_usdjpy-hour-Close,1,1,active,arff,22363,2,21462,2,12,43825,0,0,11,1,0.545382977,0.029046059,FALSE
-41783,41783,FOREX_eurdkk-day-Close,1,1,active,arff,956,2,880,2,12,1836,0,0,11,1,0.188140631,0.027000189,FALSE
-41784,41784,FOREX_gbpusd-day-Close,1,1,active,arff,932,2,902,2,12,1834,0,0,11,1,0.187906265,0.026000261,FALSE
-41785,41785,FOREX_eurtry-day-High,1,1,active,arff,932,2,900,2,12,1832,0,0,11,1,0.17809844,0.026003838,FALSE
-41786,41786,FOREX_eurgbp-minute-Close,1,1,active,arff,194179,2,181661,2,12,375840,0,0,11,1,2.509299517,0.028001785,FALSE
-41787,41787,FOREX_eurpln-hour-High,1,1,active,arff,23298,2,20527,2,12,43825,0,0,11,1,0.50646162,0.028994322,FALSE
-41788,41788,FOREX_audnzd-day-High,1,1,active,arff,1003,2,829,2,12,1832,0,0,11,1,0.169843435,0.028031349,FALSE
-41789,41789,FOREX_eurnzd-minute-High,1,1,active,arff,196400,2,179440,2,12,375840,0,0,11,1,2.797767162,0.027011156,FALSE
-41790,41790,FOREX_cadjpy-day-Close,1,1,active,arff,923,2,911,2,12,1834,0,0,11,1,0.20334053,0.026035309,FALSE
-41791,41791,FOREX_eurusd-day-Close,1,1,active,arff,926,2,911,2,12,1837,0,0,11,1,0.176739693,0.025964975,FALSE
-41792,41792,FOREX_usdchf-hour-Close,1,1,active,arff,22068,2,21757,2,12,43825,0,0,11,1,0.512191296,0.026998758,FALSE
-41793,41793,FOREX_eurjpy-minute-High,1,1,active,arff,200986,2,174854,2,12,375840,0,0,11,1,2.76020503,0.027046919,FALSE
-41794,41794,FOREX_nzdusd-minute-Close,1,1,active,arff,197006,2,178834,2,12,375840,0,0,11,1,2.570556641,0.027003765,FALSE
-41795,41795,FOREX_gbpusd-minute-Close,1,1,active,arff,194132,2,181708,2,12,375840,0,0,11,1,2.945060492,0.028027296,FALSE
-41796,41796,FOREX_eurrub-minute-Close,1,1,active,arff,267817,2,108023,2,12,375840,0,0,11,1,2.283286333,0.026985645,FALSE
-41797,41797,FOREX_usdjpy-day-High,1,1,active,arff,921,2,914,2,12,1835,0,0,11,1,0.337870121,0.029032707,FALSE
-41798,41798,FOREX_usdcad-minute-High,1,1,active,arff,203805,2,172035,2,12,375840,0,0,11,1,2.869329453,0.038063049,FALSE
-41799,41799,FOREX_eurhkd-hour-Close,1,1,active,arff,22076,2,21749,2,12,43825,0,0,11,1,0.660083532,0.037117243,FALSE
-41800,41800,FOREX_cadjpy-minute-Close,1,1,active,arff,192911,2,182929,2,12,375840,0,0,11,1,2.989305973,0.041002035,FALSE
-41801,41801,FOREX_eursgd-day-High,1,1,active,arff,950,2,882,2,12,1832,0,0,11,1,0.26201129,0.039999247,FALSE
-41802,41802,FOREX_audcad-minute-High,1,1,active,arff,198576,2,177264,2,12,375840,0,0,11,1,2.803018332,0.038522005,FALSE
-41803,41803,FOREX_eurchf-day-High,1,1,active,arff,978,2,855,2,12,1833,0,0,11,1,0.172748804,0.036555529,FALSE
-41804,41804,FOREX_gbpusd-hour-Close,1,1,active,arff,22109,2,21716,2,12,43825,0,0,11,1,0.538086176,0.030524254,FALSE
-41805,41805,FOREX_eurrub-hour-High,1,1,active,arff,30833,2,12992,2,12,43825,0,0,11,1,0.501810312,0.029558897,FALSE
-41806,41806,FOREX_audjpy-hour-Close,1,1,active,arff,22213,2,21612,2,12,43825,0,0,11,1,0.605293751,0.030000448,FALSE
-41807,41807,FOREX_nzdusd-minute-High,1,1,active,arff,208036,2,167804,2,12,375840,0,0,11,1,2.645624399,0.029013395,FALSE
-41808,41808,FOREX_eurgbp-minute-High,1,1,active,arff,202133,2,173707,2,12,375840,0,0,11,1,2.69179225,0.029986143,FALSE
-41809,41809,FOREX_audusd-minute-High,1,1,active,arff,207224,2,168616,2,12,375840,0,0,11,1,2.588009834,0.029000044,FALSE
-41810,41810,FOREX_audchf-minute-Close,1,1,active,arff,193638,2,182202,2,12,375840,0,0,11,1,2.648472071,0.028999805,FALSE
-41811,41811,FOREX_cadchf-day-Close,1,1,active,arff,949,2,882,2,12,1831,0,0,11,1,0.213542223,0.027998924,FALSE
-41812,41812,FOREX_eurnok-day-Close,1,1,active,arff,921,2,916,2,12,1837,0,0,11,1,0.171027899,0.028002024,FALSE
-41813,41813,FOREX_audsgd-minute-Close,1,1,active,arff,197295,2,178545,2,12,375840,0,0,11,1,2.495996714,0.028999329,FALSE
-41814,41814,FOREX_euraud-minute-Close,1,1,active,arff,191301,2,184539,2,12,375840,0,0,11,1,2.774050236,0.029999256,FALSE
-41815,41815,FOREX_eurrub-day-Close,1,1,active,arff,918,2,914,2,12,1832,0,0,11,1,0.18889308,0.027003288,FALSE
-41816,41816,FOREX_usddkk-hour-High,1,1,active,arff,23306,2,20519,2,12,43825,0,0,11,1,0.549758434,0.029032469,FALSE
-41817,41817,FOREX_audusd-minute-Close,1,1,active,arff,195610,2,180230,2,12,375840,0,0,11,1,2.45143342,0.02696538,FALSE
-41818,41818,FOREX_euraud-day-Close,1,1,active,arff,946,2,888,2,12,1834,0,0,11,1,0.174000025,0.026999235,FALSE
-41819,41819,FOREX_eurrub-minute-High,1,1,active,arff,270976,2,104864,2,12,375840,0,0,11,1,2.194659233,0.026000261,FALSE
-41820,41820,FOREX_chfsgd-hour-High,1,1,active,arff,22965,2,20860,2,12,43825,0,0,11,1,0.504006386,0.02699995,FALSE
-41821,41821,FOREX_eurpln-day-Close,1,1,active,arff,935,2,897,2,12,1832,0,0,11,1,0.193253279,0.025999069,FALSE
-41822,41822,FOREX_audnzd-minute-High,1,1,active,arff,199430,2,176410,2,12,375840,0,0,11,1,2.716681242,0.027002096,FALSE
-41823,41823,FOREX_eurcad-minute-High,1,1,active,arff,197225,2,178615,2,12,375840,0,0,11,1,3.225713968,0.025998354,FALSE
-41824,41824,FOREX_eurgbp-hour-Close,1,1,active,arff,22040,2,21785,2,12,43825,0,0,11,1,0.530002356,0.027000666,FALSE
-41825,41825,FOREX_audnzd-hour-High,1,1,active,arff,22702,2,21123,2,12,43825,0,0,11,1,0.510142803,0.029999971,FALSE
-41826,41826,FOREX_eurnzd-day-Close,1,1,active,arff,955,2,877,2,12,1832,0,0,11,1,0.203218937,0.027001143,FALSE
-41827,41827,FOREX_euraud-hour-Close,1,1,active,arff,22133,2,21692,2,12,43825,0,0,11,1,0.516115665,0.027998209,FALSE
-41828,41828,FOREX_usdcad-hour-High,1,1,active,arff,22732,2,21093,2,12,43825,0,0,11,1,0.529473782,0.026036501,FALSE
-41829,41829,FOREX_nzdusd-day-Close,1,1,active,arff,939,2,889,2,12,1828,0,0,11,1,0.213453054,0.02699995,FALSE
-41830,41830,FOREX_nzdusd-day-High,1,1,active,arff,939,2,889,2,12,1828,0,0,11,1,0.208570957,0.025963783,FALSE
-41831,41831,FOREX_eurdkk-hour-Close,1,1,active,arff,23031,2,20794,2,12,43825,0,0,11,1,0.475809813,0.028000116,FALSE
-41832,41832,FOREX_nzdusd-hour-Close,1,1,active,arff,22110,2,21715,2,12,43825,0,0,11,1,0.506235838,0.027999401,FALSE
-41833,41833,FOREX_cadjpy-hour-High,1,1,active,arff,22693,2,21132,2,12,43825,0,0,11,1,0.595981836,0.028000116,FALSE
-41834,41834,FOREX_usdcad-day-Close,1,1,active,arff,960,2,873,2,12,1833,0,0,11,1,0.175340652,0.027000427,FALSE
-41835,41835,FOREX_euraud-hour-High,1,1,active,arff,22869,2,20956,2,12,43825,0,0,11,1,0.574375153,0.033002138,FALSE
-41836,41836,FOREX_cadchf-minute-High,1,1,active,arff,201076,2,174764,2,12,375840,0,0,11,1,2.731551886,0.039530277,FALSE
-41837,41837,FOREX_audjpy-minute-Close,1,1,active,arff,193109,2,182731,2,12,375840,0,0,11,1,3.128098249,0.037626505,FALSE
-41838,41838,FOREX_cadchf-hour-Close,1,1,active,arff,21919,2,21906,2,12,43825,0,0,11,1,0.562126875,0.046036243,FALSE
-41839,41839,FOREX_cadjpy-day-High,1,1,active,arff,920,2,914,2,12,1834,0,0,11,1,0.196424961,0.035975933,FALSE
-41840,41840,FOREX_eurnok-minute-High,1,1,active,arff,205831,2,170009,2,12,375840,0,0,11,1,2.698614359,0.035002232,FALSE
-41841,41841,FOREX_chfsgd-day-Close,1,1,active,arff,933,2,899,2,12,1832,0,0,11,1,0.215560675,0.029010057,FALSE
-41842,41842,FOREX_eurchf-hour-High,1,1,active,arff,22452,2,21373,2,12,43825,0,0,11,1,0.521888256,0.026986599,FALSE
-41843,41843,FOREX_audusd-hour-High,1,1,active,arff,23210,2,20615,2,12,43825,0,0,11,1,0.561825037,0.031000137,FALSE
-41844,41844,FOREX_eurgbp-day-Close,1,1,active,arff,935,2,900,2,12,1835,0,0,11,1,0.169599056,0.025999069,FALSE
-41845,41845,FOREX_eurusd-minute-High,1,1,active,arff,206541,2,169299,2,12,375840,0,0,11,1,2.848577499,0.028000593,FALSE
-41846,41846,FOREX_eursek-day-Close,1,1,active,arff,925,2,912,2,12,1837,0,0,11,1,0.199828386,0.025002718,FALSE
-41847,41847,FOREX_eurdkk-day-High,1,1,active,arff,939,2,897,2,12,1836,0,0,11,1,0.189804316,0.026997566,FALSE
-41848,41848,FOREX_chfjpy-day-High,1,1,active,arff,936,2,896,2,12,1832,0,0,11,1,0.204488516,0.025999784,FALSE
-41849,41849,FOREX_audsgd-day-Close,1,1,active,arff,923,2,909,2,12,1832,0,0,11,1,0.190372229,0.027999401,FALSE
-41850,41850,FOREX_eursek-minute-High,1,1,active,arff,205497,2,170343,2,12,375840,0,0,11,1,2.515851736,0.027000189,FALSE
-41851,41851,FOREX_usdjpy-hour-High,1,1,active,arff,23367,2,20458,2,12,43825,0,0,11,1,0.556627989,0.02799964,FALSE
-41852,41852,FOREX_eurchf-minute-High,1,1,active,arff,203153,2,172687,2,12,375840,0,0,11,1,2.514730215,0.028002977,FALSE
-41853,41853,FOREX_eurnzd-minute-Close,1,1,active,arff,191269,2,184571,2,12,375840,0,0,11,1,2.796600342,0.02899766,FALSE
-41854,41854,FOREX_audcad-minute-Close,1,1,active,arff,192180,2,183660,2,12,375840,0,0,11,1,2.698209763,0.028000832,FALSE
-41855,41855,FOREX_eurtry-minute-High,1,1,active,arff,208967,2,166873,2,12,375840,0,0,11,1,2.894654989,0.027034283,FALSE
-41856,41856,FOREX_eurdkk-hour-High,1,1,active,arff,23910,2,19915,2,12,43825,0,0,11,1,0.476733446,0.027964354,FALSE
-41857,41857,FOREX_audjpy-day-Close,1,1,active,arff,957,2,875,2,12,1832,0,0,11,1,0.205411434,0.026999235,FALSE
-41858,41858,FOREX_usdchf-day-Close,1,1,active,arff,951,2,884,2,12,1835,0,0,11,1,0.208366632,0.026000977,FALSE
-41859,41859,FOREX_eurnok-hour-Close,1,1,active,arff,22018,2,21807,2,12,43825,0,0,11,1,0.646986008,0.027000904,FALSE
-41860,41860,FOREX_eurusd-hour-Close,1,1,active,arff,22071,2,21754,2,12,43825,0,0,11,1,0.61288619,0.027999401,FALSE
-41861,41861,FOREX_euraud-minute-High,1,1,active,arff,197195,2,178645,2,12,375840,0,0,11,1,2.860364914,0.027000904,FALSE
-41862,41862,FOREX_eurrub-hour-Close,1,1,active,arff,30334,2,13491,2,12,43825,0,0,11,1,0.468986988,0.026997805,FALSE
-41863,41863,FOREX_eurnok-day-High,1,1,active,arff,950,2,887,2,12,1837,0,0,11,1,0.205461979,0.026000977,FALSE
-41864,41864,FOREX_chfsgd-day-High,1,1,active,arff,999,2,833,2,12,1832,0,0,11,1,0.195032835,0.024999857,FALSE
-41865,41865,FOREX_audsgd-hour-High,1,1,active,arff,22558,2,21267,2,12,43825,0,0,11,1,0.549454927,0.027000189,FALSE
-41866,41866,FOREX_euraud-day-High,1,1,active,arff,934,2,900,2,12,1834,0,0,11,1,0.203623056,0.026003122,FALSE
-41867,41867,FOREX_audnzd-day-Close,1,1,active,arff,950,2,882,2,12,1832,0,0,11,1,0.201714516,0.032996655,FALSE
-41868,41868,FOREX_eurpln-day-High,1,1,active,arff,969,2,863,2,12,1832,0,0,11,1,0.223993063,0.034999371,FALSE
-41869,41869,FOREX_eursgd-minute-Close,1,1,active,arff,191724,2,184116,2,12,375840,0,0,11,1,2.74350667,0.038496494,FALSE
-41870,41870,FOREX_chfjpy-hour-Close,1,1,active,arff,21996,2,21829,2,12,43825,0,0,11,1,0.541331291,0.040500641,FALSE
-41871,41871,FOREX_usddkk-hour-Close,1,1,active,arff,22050,2,21775,2,12,43825,0,0,11,1,0.630405426,0.034006119,FALSE
-41872,41872,FOREX_eurhkd-day-Close,1,1,active,arff,917,2,915,2,12,1832,0,0,11,1,0.16479516,0.026993036,FALSE
-41873,41873,FOREX_eurusd-hour-High,1,1,active,arff,23523,2,20302,2,12,43825,0,0,11,1,0.519137383,0.030999899,FALSE
-41874,41874,FOREX_eursgd-day-Close,1,1,active,arff,924,2,908,2,12,1832,0,0,11,1,0.195171833,0.025000572,FALSE
-41875,41875,FOREX_audchf-day-High,1,1,active,arff,929,2,904,2,12,1833,0,0,11,1,0.165217161,0.027999878,FALSE
-41876,41876,FOREX_eurdkk-minute-Close,1,1,active,arff,273731,2,102109,2,12,375840,0,0,11,1,1.729121447,0.026998043,FALSE
-41877,41877,FOREX_eurchf-hour-Close,1,1,active,arff,22003,2,21822,2,12,43825,0,0,11,1,0.498209953,0.027001381,FALSE
-41878,41878,FOREX_audusd-hour-Close,1,1,active,arff,22098,2,21727,2,12,43825,0,0,11,1,0.480618715,0.026999474,FALSE
-41879,41879,FOREX_gbpusd-hour-High,1,1,active,arff,23312,2,20513,2,12,43825,0,0,11,1,0.529027224,0.027009726,FALSE
-41880,41880,FOREX_chfsgd-minute-Close,1,1,active,arff,195885,2,179955,2,12,375840,0,0,11,1,2.647503376,0.026990175,FALSE
-41881,41881,FOREX_chfjpy-hour-High,1,1,active,arff,22854,2,20971,2,12,43825,0,0,11,1,0.60588479,0.027035713,FALSE
-41882,41882,FOREX_audjpy-day-High,1,1,active,arff,941,2,891,2,12,1832,0,0,11,1,0.172635078,0.027964354,FALSE
-41883,41883,FOREX_eurnzd-hour-High,1,1,active,arff,22999,2,20826,2,12,43825,0,0,11,1,0.586785555,0.027000427,FALSE
-41884,41884,FOREX_nzdusd-hour-High,1,1,active,arff,23184,2,20641,2,12,43825,0,0,11,1,0.476956606,0.028999329,FALSE
-41885,41885,FOREX_chfsgd-hour-Close,1,1,active,arff,22278,2,21547,2,12,43825,0,0,11,1,0.530720949,0.027000666,FALSE
-41886,41886,FOREX_eurnzd-hour-Close,1,1,active,arff,22350,2,21475,2,12,43825,0,0,11,1,0.504869461,0.026999235,FALSE
-41887,41887,FOREX_audsgd-minute-High,1,1,active,arff,202700,2,173140,2,12,375840,0,0,11,1,2.533756256,0.027000666,FALSE
-41888,41888,FOREX_audchf-hour-Close,1,1,active,arff,21916,2,21909,2,12,43825,0,0,11,1,0.493140697,0.027036905,FALSE
-41889,41889,FOREX_eurjpy-hour-Close,1,1,active,arff,22103,2,21722,2,12,43825,0,0,11,1,0.53335762,0.026962042,FALSE
-41890,41890,FOREX_usddkk-minute-High,1,1,active,arff,200928,2,174912,2,12,375840,0,0,11,1,2.947495699,0.025999784,FALSE
-41891,41891,FOREX_eurcad-hour-Close,1,1,active,arff,21914,2,21911,2,12,43825,0,0,11,1,0.523594379,0.026000977,FALSE
-41892,41892,FOREX_usdchf-minute-High,1,1,active,arff,207306,2,168534,2,12,375840,0,0,11,1,2.45010376,0.028000355,FALSE
-41893,41893,FOREX_eursgd-hour-High,1,1,active,arff,22665,2,21160,2,12,43825,0,0,11,1,0.559640646,0.026999712,FALSE
-41894,41894,FOREX_eurchf-day-Close,1,1,active,arff,952,2,881,2,12,1833,0,0,11,1,0.199210644,0.025999784,FALSE
-41895,41895,FOREX_eurhuf-minute-Close,1,1,active,arff,273138,2,102702,2,12,375840,0,0,11,1,1.921921015,0.03003788,FALSE
-41896,41896,FOREX_eursek-hour-Close,1,1,active,arff,22043,2,21782,2,12,43825,0,0,11,1,0.590322733,0.027961254,FALSE
-41897,41897,FOREX_usddkk-day-Close,1,1,active,arff,916,2,916,2,12,1832,0,0,11,1,0.254168272,0.028000593,FALSE
-41898,41898,FOREX_audnzd-hour-Close,1,1,active,arff,22275,2,21550,2,12,43825,0,0,11,1,0.543251514,0.02699995,FALSE
-41899,41899,MultilingualDS,1,8876,active,ARFF,,,,,3,65428,0,0,0,0,19.15556931,0.036005735,FALSE
-41906,41906,Forex,2,8909,active,ARFF,,2,,,12,375840,0,0,11,1,2.590613604,0.032020092,FALSE
-41907,41907,branin,1,8911,active,ARFF,,,,,3,225,0,0,3,0,0.257000446,0.052651644,FALSE
-41919,41919,CPMP-2015-runtime-classification,1,8316,active,ARFF,208,4,78,4,23,527,0,0,22,1,0.243257523,0.05300045,FALSE
-41928,41928,CPMP-2015-runtime-regression,1,8316,active,ARFF,,4,,0,24,2108,0,0,23,1,0.303894997,0.062326193,FALSE
-41937,41937,exercises,1,8997,active,ARFF,,2,,,8,15000,0,0,7,1,0.404138327,0.055994511,FALSE
-41938,41938,MIP-2016-PAR10-regression,1,8316,active,ARFF,,5,,0,145,1090,0,0,144,1,0.456522942,0.078001738,FALSE
-41939,41939,MIP-2016-PAR10-classification,1,8316,active,ARFF,84,5,1,5,144,218,0,0,143,1,0.301763535,0.054033756,FALSE
-41940,41940,exercises,2,8997,active,ARFF,,2,,,8,15000,0,0,7,1,0.410986662,0.043967247,FALSE
-41943,41943,ilpd-numeric,1,8684,active,ARFF,,,,0,11,583,0,0,11,0,0.181787491,0.036755562,FALSE
-41944,41944,Sick_numeric,1,8684,active,ARFF,,,,,30,3772,0,0,30,0,0.321966171,0.048420668,FALSE
-41945,41945,ilpd-numeric,2,8684,active,ARFF,416,2,167,2,11,583,0,0,10,1,0.223998547,0.042372465,FALSE
-41946,41946,Sick_numeric,2,8684,active,ARFF,3541,2,231,2,30,3772,0,0,29,1,0.309917927,0.049030066,FALSE
-41949,41949,Elegibilidade,1,8998,active,ARFF,150572,2,118605,2,2,269177,0,0,0,1,0.706860065,0.696608067,FALSE
-41950,41950,iris_test_upload,1,4030,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.191381216,0.040329695,FALSE
-41952,41952,TaskCreationTestDataset,1,1159,active,arff,,3,,,5,150,0,0,4,1,0.186461449,0.047003746,FALSE
-41953,41953,TaskCreationTestDataset,2,1159,active,arff,,3,,,5,150,0,0,4,1,0.183582783,0.040967941,FALSE
-41960,41960,seattlecrime6,1,9035,active,ARFF,131297,144,1,144,8,523590,3615,6916,2,6,13.11684752,0.132995844,FALSE
-41961,41961,TaskCreationTestDataset,3,1159,active,arff,,3,,,5,150,0,0,4,1,0.202375174,0.038028955,FALSE
-41962,41962,TaskCreationTestDataset,4,1159,active,arff,,3,,,5,150,0,0,4,1,0.173904896,0.039003849,FALSE
-41964,41964,USPS,3,9043,active,ARFF,716,2,708,2,257,1424,0,0,256,1,1.024112463,0.08200264,FALSE
-41966,41966,isolet,2,9043,active,ARFF,300,2,300,2,618,600,0,0,617,1,0.956840038,0.117175579,FALSE
-41967,41967,cnae-9,2,9043,active,ARFF,120,2,120,2,857,240,0,0,856,1,0.643181562,0.106049538,FALSE
-41968,41968,crimecommunitynums,1,9035,active,ARFF,,,,0,127,1994,1871,39202,127,0,0.468183041,0.060580492,FALSE
-41969,41969,crimecommunitynums2,1,9035,active,ARFF,,,,0,127,1994,0,0,127,0,0.464402914,0.067778349,FALSE
-41971,41971,1DUltrasoundMuscleContractionData,1,8996,active,ARFF,,,,,4,212872,0,0,3,0,894.6483464,7.829798222,FALSE
-41972,41972,Indian_pines,1,9155,active,ARFF,4050,8,20,8,221,9144,0,0,220,1,2.908245087,0.093998671,FALSE
-41973,41973,semeion,2,9043,active,ARFF,161,2,158,2,257,319,0,0,256,1,0.390215635,0.057039261,FALSE
-41976,41976,TuningSVMs,1,64,active,ARFF,102,2,54,2,81,156,0,0,80,1,0.260870695,0.049995184,FALSE
-41977,41977,TuningSVMs,2,64,active,ARFF,98,2,58,2,91,156,0,0,90,1,0.243108511,0.056974888,FALSE
-41978,41978,TuningSVMs,3,64,active,ARFF,94,2,62,2,81,156,0,0,80,1,0.238842964,0.059066772,FALSE
-41980,41980,SAT11-HAND-runtime-regression,1,8316,active,ARFF,,15,,0,117,4440,2715,27150,116,1,0.999998569,0.102432489,FALSE
-41981,41981,SAT11-HAND-runtime-classification,1,8316,active,ARFF,91,14,1,14,116,296,181,1810,115,1,0.259707689,0.061586142,FALSE
-41982,41982,Kuzushiji-MNIST,1,86,active,arff,7000,10,7000,10,785,70000,0,0,784,1,40.48081064,1.13193655,FALSE
-41983,41983,CIFAR-100,1,86,active,arff,,,,,,,,,,,162.0759852,6.330084085,FALSE
-41986,41986,GTSRB-HOG01,1,86,active,arff,3000,43,270,43,1569,51839,0,0,1568,1,90.57532072,2.34411478,FALSE
-41988,41988,GTSRB-HOG02,1,86,active,arff,3000,43,270,43,1569,51839,0,0,1568,1,89.57346773,2.051415682,FALSE
-41989,41989,GTSRB-HOG03,1,86,active,arff,3000,43,270,43,2917,51839,0,0,2916,1,172.0711234,3.96575284,FALSE
-41990,41990,GTSRB-HueHist,1,86,active,arff,3000,43,270,43,257,51839,0,0,256,1,13.36984921,0.339003086,FALSE
-41991,41991,Kuzushiji-49,1,86,active,arff,7000,49,456,49,785,270912,0,0,784,1,156.2079282,3.650758743,FALSE
-41996,41996,iris,15,348,active,ARFF,,3,,,5,150,0,0,4,1,0.215477228,0.040005684,FALSE
-41997,41997,iris,16,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.220693111,0.038967609,FALSE
-41998,41998,Weather,10,3229,active,arff,9,3,5,2,5,14,0,0,2,3,0.186536789,0.038025856,FALSE
-42002,42002,iris,17,348,active,ARFF,,3,,,5,150,0,0,4,1,0.191380262,0.037001848,FALSE
-42003,42003,iris,18,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.19340086,0.037003756,FALSE
-42004,42004,ID,1,9327,active,ARFF,,,,,10,1974675,1974675,1974675,9,0,53.08768058,0.45371747,FALSE
-42006,42006,WebEvaluationss,1,9327,active,ARFF,,,,,10,1974675,1974675,1974675,9,0,53.24222207,0.430516005,FALSE
-42010,42010,iris,19,348,active,ARFF,,3,,,5,150,0,0,4,1,0.222857475,0.049040556,FALSE
-42011,42011,iris,20,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.180695772,0.038961649,FALSE
-42015,42015,iris,21,348,active,ARFF,,3,,,5,150,0,0,4,1,0.187643766,0.033999205,FALSE
-42016,42016,iris,22,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.188378334,0.037001371,FALSE
-42020,42020,iris,23,348,active,ARFF,,3,,,5,150,0,0,4,1,0.192293644,0.035998821,FALSE
-42021,42021,iris,24,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.208977222,0.036000013,FALSE
-42025,42025,iris,25,348,active,ARFF,,3,,,5,150,0,0,4,1,0.185602903,0.033998728,FALSE
-42026,42026,iris,26,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.173907042,0.034031153,FALSE
-42030,42030,iris,27,348,active,ARFF,,3,,,5,150,0,0,4,1,0.194837093,0.03500104,FALSE
-42031,42031,iris,28,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.178471804,0.036000252,FALSE
-42035,42035,iris,29,348,active,ARFF,,3,,,5,150,0,0,4,1,0.198839664,0.033999205,FALSE
-42036,42036,iris,30,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.176753998,0.034999132,FALSE
-42040,42040,iris,31,348,active,ARFF,,3,,,5,150,0,0,4,1,0.187020063,0.036000967,FALSE
-42041,42041,iris,32,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.193248987,0.035000563,FALSE
-42045,42045,iris,33,348,active,ARFF,,3,,,5,150,0,0,4,1,0.186005116,0.037002087,FALSE
-42046,42046,iris,34,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.186450243,0.036996126,FALSE
-42050,42050,iris,35,348,active,ARFF,,3,,,5,150,0,0,4,1,0.196185589,0.035000801,FALSE
-42051,42051,iris,36,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.198071718,0.034003496,FALSE
-42055,42055,iris,37,348,active,ARFF,,3,,,5,150,0,0,4,1,0.181445122,0.037969589,FALSE
-42056,42056,iris,38,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.185744524,0.034027338,FALSE
-42057,42057,airquality,1,348,active,ARFF,,,,,,,,,,,0.184998751,0.080320358,FALSE
-42058,42058,airquality,2,348,active,ARFF,,,,,,,,,,,0.180257082,0.068054199,FALSE
-42059,42059,airquality,3,348,active,ARFF,,,,,,,,,,,0.173906803,0.066057682,FALSE
-42060,42060,subsample_delays_zurich_transport,3,348,active,ARFF,,,,,,,,,,,0.164460421,0.063182354,FALSE
-42065,42065,iris,39,348,active,ARFF,,3,,,5,150,0,0,4,1,0.183187246,0.036017895,FALSE
-42066,42066,iris,40,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.173000336,0.041997194,FALSE
-42070,42070,iris,41,348,active,ARFF,,3,,,5,150,0,0,4,1,0.192248821,0.035998821,FALSE
-42071,42071,iris,42,348,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.172001839,0.036964655,FALSE
-42072,42072,bot-iot-all-features,1,9177,active,ARFF,,,,,,,,,,,319.9249074,3.770484924,FALSE
-42074,42074,wine_reviews,1,3422,active,arff,,,,,10,150930,111689,174477,2,0,182.4830632,0.516983032,FALSE
-42076,42076,kickstarter_projects,1,3422,active,arff,,2,,,14,331675,210,210,6,1,166.3125155,1.008502007,FALSE
-42078,42078,beer_reviews,4,5332,active,arff,117586,,241,104,13,1586614,68136,68148,9,0,698.8829036,1.481734514,FALSE
-42079,42079,house_sales,1,3422,active,arff,,,,,20,21613,0,0,19,0,0.785371542,0.061490774,FALSE
-42080,42080,federal_election,1,3422,active,arff,,16607,,0,21,3348209,3346742,10786577,5,1,1868.736926,2170.003213,TRUE
-42087,42087,beer_reviews,5,5332,active,arff,117586,,241,104,13,1586614,68136,68148,9,0,739.5033391,2.809999943,FALSE
-42088,42088,beer_reviews,6,5332,active,arff,117586,,241,104,13,1586614,68136,68148,9,0,695.2656701,2.122996807,FALSE
-42089,42089,vancouver_employee,1,5332,active,arff,117586,,241,104,13,1586614,68136,68148,9,0,702.0769336,1.487074375,FALSE
-42090,42090,vancouver_employee,2,3422,active,arff,,,,,,,,,,,0.361001492,0.217002869,FALSE
-42091,42091,iris,43,9456,active,ARFF,,3,,,5,150,0,0,4,1,0.293727875,0.048035145,FALSE
-42092,42092,house_sales,2,3422,active,arff,,70,,0,20,21613,0,0,18,1,0.836106062,0.147968531,FALSE
-42093,42093,public_procurement,3,3422,active,arff,,,,,,,,,,,1226.017393,5.37001276,FALSE
-42097,42097,iris,44,7214,active,ARFF,,3,,,5,150,0,0,4,1,0.215091944,0.041033983,FALSE
-42098,42098,iris,45,7214,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.19679451,0.044969082,FALSE
-42099,42099,lotto,1,9480,active,ARFF,,1153,,,11,1153,0,0,10,1,0.265080929,0.054033279,FALSE
-42104,42104,adult_income_p,1,9558,active,ARFF,,41,,,17,48844,3622,6495,8,9,1.435111284,0.071970224,FALSE
-42105,42105,default_credit_card_p,1,9558,active,ARFF,,5,,,27,30000,0,0,24,3,1.216589928,0.066000462,FALSE
-42106,42106,uci_diabetes_p,1,9558,active,ARFF,,72,,,52,101766,100723,192849,16,33,6.657846212,0.180992126,FALSE
-42107,42107,hmeq_p,1,9558,active,ARFF,,6,,,15,5960,2596,5271,13,2,0.377030373,0.048999786,FALSE
-42108,42108,kaggle_santander_p,1,9558,active,ARFF,,1000,,,203,200000,0,0,202,1,75.48623252,0.794997454,FALSE
-42110,42110,S1,1,9479,active,ARFF,,,,0,3,5000,0,0,3,0,0.267601252,0.047003746,FALSE
-42111,42111,S2,1,9479,active,ARFF,,,,0,3,5000,0,0,3,0,0.227606773,0.0430336,FALSE
-42112,42112,S3,1,9479,active,ARFF,,,,0,3,5000,0,0,3,0,0.24175334,0.042963982,FALSE
-42113,42113,S4,1,9479,active,ARFF,,,,0,3,5000,0,0,3,0,0.214026213,0.047007561,FALSE
-42118,42118,public_procurement,4,3422,active,arff,,,,,,,,,,,1221.375984,5.046369076,FALSE
-42121,42121,colleges,9,3422,active,arff,,,,,,,,,,,13.53896999,0.205911398,FALSE
-42123,42123,article_influence,2,3422,active,arff,32,3169,1,3169,7,3615,12,48,5,1,0.370366335,0.077000618,FALSE
-42125,42125,employee_salaries,14,5332,active,arff,,37,,0,13,9228,8380,11169,4,4,0.681955099,0.072999239,FALSE
-42130,42130,medical_charges,5,3422,active,arff,,100,,0,12,163065,0,0,6,2,7.217180014,0.239649534,FALSE
-42131,42131,medical_charges,6,3422,active,arff,,100,,0,12,163065,0,0,6,2,7.50278163,0.241289616,FALSE
-42132,42132,Traffic_violations,4,5332,active,arff,789812,33,899,4,43,1578154,1532400,8006541,3,5,8492.098453,9653.258719,TRUE
-42133,42133,cacao_flavor,3,3422,active,arff,887,,1,42,9,1795,0,1,3,0,1.588527679,0.316000462,FALSE
-42134,42134,colleges,10,3422,active,arff,,,,,,,,,,,14.2188592,0.927990913,FALSE
-42136,42136,la_crimes,2,5332,active,arff,,,,,,,,,,,112.9879839,3.029968977,FALSE
-42139,42139,public_procurement,5,3422,active,arff,,,,,,,,,,,1213.035822,6.013195992,FALSE
-42140,42140,SVHN_small,1,2,active,arff,1896,10,625,10,3073,9927,0,0,3072,1,25.81663203,1.05458498,FALSE
-42141,42141,SVHN_medium,1,2,active,arff,9480,10,3127,10,3073,49644,0,0,3072,1,145.3496571,4.23811841,FALSE
-42143,42143,nfl_games,1,9920,active,ARFF,,3386,,,12,16274,0,0,8,4,0.584699869,0.10099268,FALSE
-42159,42159,colleges,11,3422,active,arff,,6039,,0,50,7063,7063,125494,33,6,11.18056011,0.158033133,FALSE
-42160,42160,la_crimes,3,5332,active,arff,,210,,0,26,1468825,1468811,7881776,12,7,103.7096391,2.870387316,FALSE
-42163,42163,public_procurement,6,3422,active,arff,,,,0,75,565163,565163,15247061,27,0,1215.986334,5.031177998,FALSE
-42164,42164,dating_profile,1,3422,active,arff,,,,0,31,59946,55542,273249,3,0,223.6053371,1.615970612,FALSE
-42165,42165,house_prices,1,3422,active,arff,,,,0,81,1460,1460,6965,38,0,0.378195763,0.070998192,FALSE
-42166,42166,cacao_flavor,4,3422,active,arff,887,,1,41,9,1794,0,0,3,0,0.719372272,0.055000067,FALSE
-42167,42167,stress,1,4030,active,ARFF,159,5,3,3,13,202,172,202,8,5,0.184221506,0.049138308,FALSE
-42169,42169,epiparo_extract,1,4030,active,ARFF,123,5,1,6,20,224,143,205,9,11,0.195319653,0.059037685,FALSE
-42172,42172,regime_alimentaire,1,4030,active,ARFF,161,7,41,2,20,202,17,17,3,17,0.207635641,0.057035446,FALSE
-42175,42175,CreditCardFraudDetection,1,1140,active,arff,,,,0,31,284807,0,0,31,0,13.92946339,0.220990896,FALSE
-42176,42176,parkinson-speech-uci,1,1140,active,arff,,,,0,754,756,0,0,754,0,1.154164553,0.154140234,FALSE
-42177,42177,echocardiogram-uci,1,1140,active,arff,57,,1,4,8,132,25,103,1,0,0.186007738,0.056404352,FALSE
-42178,42178,telco-customer-churn,1,1140,active,arff,5174,,1869,2,20,7043,0,0,3,0,0.559049845,0.092009544,FALSE
-42182,42182,Lorenz_attractor_regime_changes,1,10283,active,ARFF,,,,,4,4942,0,0,4,0,0.273882151,0.048278093,FALSE
-42183,42183,dataset_sales,1,10333,active,ARFF,,,,0,15,10738,0,0,15,0,0.389451981,0.051027298,FALSE
-42184,42184,Wine,3,10351,active,ARFF,,,,,12,1599,0,0,12,0,0.234291553,0.04796958,FALSE
-42186,42186,JuanFeldmanIris,1,10443,active,ARFF,50,3,50,3,5,150,0,0,4,1,0.180073023,0.051242113,FALSE
diff --git a/df2.csv b/df2.csv
deleted file mode 100644
index f6cd38951..000000000
--- a/df2.csv
+++ /dev/null
@@ -1,2963 +0,0 @@
-,did,name,version,uploader,status,format,MajorityClassSize,MaxNominalAttDistinctValues,MinorityClassSize,NumberOfClasses,NumberOfFeatures,NumberOfInstances,NumberOfInstancesWithMissingValues,NumberOfMissingValues,NumberOfNumericFeatures,NumberOfSymbolicFeatures,first_time
-2,2,anneal,1,1,active,ARFF,684.0,7.0,8.0,5.0,39.0,898.0,898.0,22175.0,6.0,33.0,0.06199765205383301
-3,3,kr-vs-kp,1,1,active,ARFF,1669.0,3.0,1527.0,2.0,37.0,3196.0,0.0,0.0,0.0,37.0,0.06023049354553223
-4,4,labor,1,1,active,ARFF,37.0,3.0,20.0,2.0,17.0,57.0,56.0,326.0,8.0,9.0,0.04278898239135742
-5,5,arrhythmia,1,1,active,ARFF,245.0,13.0,2.0,13.0,280.0,452.0,384.0,408.0,206.0,74.0,0.08899927139282227
-6,6,letter,1,1,active,ARFF,813.0,26.0,734.0,26.0,17.0,20000.0,0.0,0.0,16.0,1.0,0.04799842834472656
-7,7,audiology,1,1,active,ARFF,57.0,24.0,1.0,24.0,70.0,226.0,222.0,317.0,0.0,70.0,0.07400679588317871
-8,8,liver-disorders,1,1,active,ARFF,,,,0.0,6.0,345.0,0.0,0.0,6.0,0.0,0.03892970085144043
-9,9,autos,1,1,active,ARFF,67.0,22.0,3.0,6.0,26.0,205.0,46.0,59.0,15.0,11.0,0.045996665954589844
-10,10,lymph,1,1,active,ARFF,81.0,8.0,2.0,4.0,19.0,148.0,0.0,0.0,3.0,16.0,0.04800891876220703
-11,11,balance-scale,1,1,active,ARFF,288.0,3.0,49.0,3.0,5.0,625.0,0.0,0.0,4.0,1.0,0.0370030403137207
-12,12,mfeat-factors,1,1,active,ARFF,200.0,10.0,200.0,10.0,217.0,2000.0,0.0,0.0,216.0,1.0,0.07000041007995605
-13,13,breast-cancer,1,1,active,ARFF,201.0,11.0,85.0,2.0,10.0,286.0,9.0,9.0,0.0,10.0,0.04573798179626465
-14,14,mfeat-fourier,1,1,active,ARFF,200.0,10.0,200.0,10.0,77.0,2000.0,0.0,0.0,76.0,1.0,0.07599973678588867
-15,15,breast-w,1,1,active,ARFF,458.0,2.0,241.0,2.0,10.0,699.0,16.0,16.0,9.0,1.0,0.05097007751464844
-16,16,mfeat-karhunen,1,1,active,ARFF,200.0,10.0,200.0,10.0,65.0,2000.0,0.0,0.0,64.0,1.0,0.07100629806518555
-18,18,mfeat-morphological,1,1,active,ARFF,200.0,10.0,200.0,10.0,7.0,2000.0,0.0,0.0,6.0,1.0,0.04298853874206543
-20,20,mfeat-pixel,1,1,active,ARFF,200.0,10.0,200.0,10.0,241.0,2000.0,0.0,0.0,0.0,241.0,0.18203377723693848
-22,22,mfeat-zernike,1,1,active,ARFF,200.0,10.0,200.0,10.0,48.0,2000.0,0.0,0.0,47.0,1.0,0.05597066879272461
-23,23,cmc,1,1,active,ARFF,629.0,4.0,333.0,3.0,10.0,1473.0,0.0,0.0,2.0,8.0,0.06302666664123535
-24,24,mushroom,1,1,active,ARFF,4208.0,12.0,3916.0,2.0,23.0,8124.0,2480.0,2480.0,0.0,23.0,0.05634450912475586
-25,25,colic,1,1,active,ARFF,232.0,63.0,136.0,2.0,27.0,368.0,361.0,1927.0,7.0,20.0,0.05887484550476074
-26,26,nursery,1,1,active,ARFF,4320.0,5.0,2.0,5.0,9.0,12960.0,0.0,0.0,0.0,9.0,0.04607868194580078
-27,27,colic,2,1,active,ARFF,232.0,6.0,136.0,2.0,23.0,368.0,361.0,1927.0,7.0,16.0,0.04856538772583008
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-29,29,credit-approval,1,1,active,ARFF,383.0,14.0,307.0,2.0,16.0,690.0,37.0,67.0,6.0,10.0,0.04199981689453125
-30,30,page-blocks,1,1,active,ARFF,4913.0,5.0,28.0,5.0,11.0,5473.0,0.0,0.0,10.0,1.0,0.03896522521972656
-31,31,credit-g,1,1,active,ARFF,700.0,10.0,300.0,2.0,21.0,1000.0,0.0,0.0,7.0,14.0,0.044029951095581055
-32,32,pendigits,1,1,active,ARFF,1144.0,10.0,1055.0,10.0,17.0,10992.0,0.0,0.0,16.0,1.0,0.04300069808959961
-34,34,postoperative-patient-data,1,1,active,ARFF,64.0,4.0,2.0,3.0,9.0,90.0,3.0,3.0,0.0,9.0,0.03797459602355957
-35,35,dermatology,1,1,active,ARFF,112.0,6.0,20.0,6.0,35.0,366.0,8.0,8.0,1.0,34.0,0.055029869079589844
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-50,50,tic-tac-toe,1,1,active,ARFF,626.0,3.0,332.0,2.0,10.0,958.0,0.0,0.0,0.0,10.0,0.04103851318359375
-51,51,heart-h,1,1,active,ARFF,188.0,4.0,106.0,2.0,14.0,294.0,293.0,782.0,6.0,8.0,0.05100202560424805
-52,52,trains,1,1,active,ARFF,5.0,8.0,5.0,2.0,33.0,10.0,7.0,51.0,0.0,33.0,0.05396580696105957
-53,53,heart-statlog,1,1,active,ARFF,150.0,2.0,120.0,2.0,14.0,270.0,0.0,0.0,13.0,1.0,0.039000511169433594
-54,54,vehicle,1,1,active,ARFF,218.0,4.0,199.0,4.0,19.0,846.0,0.0,0.0,18.0,1.0,0.04599642753601074
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-60,60,waveform-5000,1,1,active,ARFF,1692.0,3.0,1653.0,3.0,41.0,5000.0,0.0,0.0,40.0,1.0,0.044965267181396484
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-140,140,"BNG(heart-statlog,nominal,1000000)",1,1,active,ARFF,554324.0,3.0,445676.0,2.0,14.0,1000000.0,0.0,0.0,0.0,14.0,0.13073372840881348
-141,141,"BNG(vehicle,nominal,1000000)",1,1,active,ARFF,258113.0,4.0,234833.0,4.0,19.0,1000000.0,0.0,0.0,0.0,19.0,0.16674137115478516
-142,142,"BNG(hepatitis,nominal,1000000)",1,1,active,ARFF,791048.0,3.0,208952.0,2.0,20.0,1000000.0,0.0,0.0,0.0,20.0,0.17061924934387207
-143,143,BNG(vote),1,1,active,ARFF,80409.0,2.0,50663.0,2.0,17.0,131072.0,0.0,0.0,0.0,17.0,0.06700468063354492
-144,144,"BNG(hypothyroid,nominal,1000000)",1,1,active,ARFF,922578.0,5.0,677.0,4.0,30.0,1000000.0,0.0,0.0,0.0,30.0,0.23584461212158203
-146,146,BNG(ionosphere),1,1,active,ARFF,641025.0,3.0,358975.0,2.0,35.0,1000000.0,0.0,0.0,0.0,35.0,0.2734711170196533
-147,147,"BNG(waveform-5000,nominal,1000000)",1,1,active,ARFF,337805.0,3.0,330548.0,3.0,41.0,1000000.0,0.0,0.0,0.0,41.0,0.3139615058898926
-148,148,"BNG(zoo,nominal,1000000)",1,1,active,ARFF,396212.0,100.0,42992.0,7.0,18.0,1000000.0,0.0,0.0,0.0,18.0,0.7771713733673096
-149,149,CovPokElec,1,1,active,ARFF,654548.0,10.0,2.0,10.0,73.0,1455525.0,0.0,0.0,22.0,51.0,1.1292729377746582
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-152,152,Hyperplane_10_1E-3,1,1,active,ARFF,500007.0,2.0,499993.0,2.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.2767927646636963
-153,153,Hyperplane_10_1E-4,1,1,active,ARFF,500166.0,2.0,499834.0,2.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.27131009101867676
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-156,156,RandomRBF_0_0,1,1,active,ARFF,300096.0,5.0,92713.0,5.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.2974066734313965
-157,157,RandomRBF_10_1E-3,1,1,active,ARFF,300096.0,5.0,92713.0,5.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.30649781227111816
-158,158,RandomRBF_10_1E-4,1,1,active,ARFF,300096.0,5.0,92713.0,5.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.29503726959228516
-159,159,RandomRBF_50_1E-3,1,1,active,ARFF,300096.0,5.0,92713.0,5.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.29001641273498535
-160,160,RandomRBF_50_1E-4,1,1,active,ARFF,300096.0,5.0,92713.0,5.0,11.0,1000000.0,0.0,0.0,10.0,1.0,0.28503847122192383
-161,161,SEA(50),1,1,active,ARFF,614342.0,2.0,385658.0,2.0,4.0,1000000.0,0.0,0.0,3.0,1.0,0.1485288143157959
-162,162,SEA(50000),1,1,active,ARFF,614332.0,2.0,385668.0,2.0,4.0,1000000.0,0.0,0.0,3.0,1.0,0.15523195266723633
-163,163,lung-cancer,1,1,active,ARFF,13.0,4.0,9.0,3.0,57.0,32.0,5.0,5.0,0.0,57.0,0.06969261169433594
-164,164,molecular-biology_promoters,1,1,active,ARFF,53.0,4.0,53.0,2.0,59.0,106.0,0.0,0.0,0.0,59.0,0.07401800155639648
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-172,172,shuttle-landing-control,1,1,active,ARFF,9.0,4.0,6.0,2.0,7.0,15.0,9.0,26.0,0.0,7.0,0.04203605651855469
-179,179,adult,1,1,active,ARFF,37155.0,41.0,11687.0,2.0,15.0,48842.0,3620.0,6465.0,2.0,13.0,0.059066057205200195
-180,180,covertype,1,1,active,ARFF,51682.0,7.0,1339.0,7.0,55.0,110393.0,0.0,0.0,14.0,41.0,0.12146878242492676
-181,181,yeast,1,1,active,ARFF,463.0,10.0,5.0,10.0,9.0,1484.0,0.0,0.0,8.0,1.0,0.042867183685302734
-182,182,satimage,1,1,active,ARFF,1531.0,6.0,625.0,6.0,37.0,6430.0,0.0,0.0,36.0,1.0,0.0509793758392334
-183,183,abalone,1,1,active,ARFF,689.0,28.0,1.0,28.0,9.0,4177.0,0.0,0.0,7.0,2.0,0.04301714897155762
-184,184,kropt,1,1,active,ARFF,4553.0,18.0,27.0,18.0,7.0,28056.0,0.0,0.0,0.0,7.0,0.04996633529663086
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-186,186,braziltourism,1,1,active,ARFF,318.0,7.0,1.0,7.0,9.0,412.0,49.0,96.0,4.0,5.0,0.03800249099731445
-187,187,wine,1,1,active,ARFF,71.0,3.0,48.0,3.0,14.0,178.0,0.0,0.0,13.0,1.0,0.03799557685852051
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-189,189,kin8nm,1,1,active,ARFF,,,,0.0,9.0,8192.0,0.0,0.0,9.0,0.0,0.04899787902832031
-190,190,mbagrade,1,1,active,ARFF,,2.0,,0.0,3.0,61.0,0.0,0.0,2.0,1.0,0.046000003814697266
-191,191,wisconsin,1,1,active,ARFF,,,,0.0,33.0,194.0,0.0,0.0,33.0,0.0,0.04800105094909668
-192,192,vineyard,1,1,active,ARFF,,,,0.0,4.0,52.0,0.0,0.0,4.0,0.0,0.038002967834472656
-193,193,bolts,1,1,active,ARFF,,,,0.0,8.0,40.0,0.0,0.0,8.0,0.0,0.03999590873718262
-194,194,cleveland,1,1,active,ARFF,,4.0,,0.0,14.0,303.0,6.0,6.0,7.0,7.0,0.041997671127319336
-195,195,auto_price,1,1,active,ARFF,,6.0,,0.0,16.0,159.0,0.0,0.0,15.0,1.0,0.0410003662109375
-196,196,autoMpg,1,1,active,ARFF,,13.0,,0.0,8.0,398.0,6.0,6.0,5.0,3.0,0.06100630760192871
-197,197,cpu_act,1,1,active,ARFF,,,,0.0,22.0,8192.0,0.0,0.0,22.0,0.0,0.060997962951660156
-198,198,delta_elevators,1,1,active,ARFF,,,,0.0,7.0,9517.0,0.0,0.0,7.0,0.0,0.04200029373168945
-199,199,fruitfly,1,1,active,ARFF,,3.0,,0.0,5.0,125.0,0.0,0.0,3.0,2.0,0.0449981689453125
-200,200,pbc,1,1,active,ARFF,,4.0,,0.0,19.0,418.0,142.0,1239.0,11.0,8.0,0.0449986457824707
-201,201,pol,1,1,active,ARFF,,,,0.0,49.0,15000.0,0.0,0.0,49.0,0.0,0.054006338119506836
-202,202,autoHorse,1,1,active,ARFF,,,,,,,,,,,0.07710528373718262
-203,203,lowbwt,1,1,active,ARFF,,6.0,,0.0,10.0,189.0,0.0,0.0,3.0,7.0,0.04296875
-204,204,cholesterol,1,1,active,ARFF,,4.0,,0.0,14.0,303.0,6.0,6.0,7.0,7.0,0.04503130912780762
-205,205,sleep,1,1,active,ARFF,,,,0.0,8.0,62.0,11.0,12.0,8.0,0.0,0.03897428512573242
-206,206,triazines,1,1,active,ARFF,,,,0.0,61.0,186.0,0.0,0.0,61.0,0.0,0.04930830001831055
-207,207,autoPrice,1,1,active,ARFF,,,,0.0,16.0,159.0,0.0,0.0,16.0,0.0,0.03903913497924805
-208,208,detroit,1,1,active,ARFF,,,,0.0,14.0,13.0,0.0,0.0,14.0,0.0,0.036988258361816406
-209,209,quake,1,1,active,ARFF,,,,0.0,4.0,2178.0,0.0,0.0,4.0,0.0,0.03700089454650879
-210,210,cloud,1,1,active,ARFF,,4.0,,0.0,7.0,108.0,0.0,0.0,5.0,2.0,0.03797411918640137
-211,211,longley,1,1,active,ARFF,,,,0.0,7.0,16.0,0.0,0.0,7.0,0.0,0.03401756286621094
-212,212,diabetes_numeric,1,1,active,ARFF,,,,0.0,3.0,43.0,0.0,0.0,3.0,0.0,0.03579068183898926
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-216,216,elevators,1,1,active,ARFF,,,,0.0,19.0,16599.0,0.0,0.0,19.0,0.0,0.06300044059753418
-217,217,pyrim,1,1,active,ARFF,,,,0.0,28.0,74.0,0.0,0.0,28.0,0.0,0.0441131591796875
-218,218,house_8L,1,1,active,ARFF,,,,0.0,9.0,22784.0,0.0,0.0,9.0,0.0,0.04704999923706055
-222,222,echoMonths,1,1,active,ARFF,,2.0,,0.0,10.0,130.0,69.0,97.0,7.0,3.0,0.04200029373168945
-223,223,stock,1,1,active,ARFF,,,,0.0,10.0,950.0,0.0,0.0,10.0,0.0,0.04246854782104492
-224,224,breastTumor,1,1,active,ARFF,,18.0,,0.0,10.0,286.0,9.0,9.0,2.0,8.0,0.043027639389038086
-225,225,puma8NH,1,1,active,ARFF,,,,0.0,9.0,8192.0,0.0,0.0,9.0,0.0,0.04097461700439453
-226,226,gascons,1,1,active,ARFF,,,,0.0,5.0,27.0,0.0,0.0,5.0,0.0,0.03800010681152344
-227,227,cpu_small,1,1,active,ARFF,,,,0.0,13.0,8192.0,0.0,0.0,13.0,0.0,0.043000221252441406
-228,228,elusage,1,1,active,ARFF,,12.0,,0.0,3.0,55.0,0.0,0.0,2.0,1.0,0.03299880027770996
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-231,231,hungarian,1,1,active,ARFF,,4.0,,0.0,14.0,294.0,293.0,782.0,7.0,7.0,0.0430295467376709
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-244,244,BNG(anneal),1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.39428043365478516
-245,245,BNG(anneal.ORIG),2,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.4076261520385742
-246,246,BNG(labor),2,1,active,ARFF,647000.0,3.0,353000.0,2.0,17.0,1000000.0,0.0,0.0,8.0,9.0,0.2468719482421875
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-249,249,BNG(lymph),1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.24184036254882812
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-293,293,covertype,2,167,active,Sparse_ARFF,297711.0,2.0,283301.0,2.0,55.0,581012.0,0.0,0.0,54.0,1.0,0.9950160980224609
-294,294,satellite_image,1,94,active,ARFF,,,,0.0,37.0,6435.0,0.0,0.0,37.0,0.0,0.06399750709533691
-296,296,Ailerons,1,167,active,ARFF,,,,0.0,41.0,13750.0,0.0,0.0,41.0,0.0,0.05899548530578613
-298,298,coil2000,1,94,active,ARFF,,,,0.0,86.0,9822.0,0.0,0.0,86.0,0.0,0.06900477409362793
-299,299,libras_move,1,94,active,ARFF,,,,0.0,91.0,360.0,0.0,0.0,91.0,0.0,0.0619962215423584
-300,300,isolet,1,94,active,ARFF,300.0,26.0,298.0,26.0,618.0,7797.0,0.0,0.0,617.0,1.0,0.20299959182739258
-301,301,ozone_level,1,94,active,ARFF,,1688.0,,0.0,73.0,2536.0,0.0,0.0,1.0,72.0,0.2669999599456787
-307,307,vowel,2,2,active,ARFF,90.0,15.0,90.0,11.0,13.0,990.0,0.0,0.0,10.0,3.0,0.05800008773803711
-308,308,puma32H,1,2,active,ARFF,,,,0.0,33.0,8192.0,0.0,0.0,33.0,0.0,0.07402205467224121
-310,310,mammography,1,94,active,ARFF,10923.0,2.0,260.0,2.0,7.0,11183.0,0.0,0.0,6.0,1.0,0.05402231216430664
-311,311,oil_spill,1,94,active,ARFF,896.0,2.0,41.0,2.0,50.0,937.0,0.0,0.0,49.0,1.0,0.054901123046875
-312,312,scene,1,94,active,ARFF,1976.0,2.0,431.0,2.0,300.0,2407.0,0.0,0.0,294.0,6.0,0.10576510429382324
-313,313,spectrometer,1,94,active,ARFF,55.0,531.0,1.0,48.0,103.0,531.0,0.0,0.0,100.0,3.0,0.0718998908996582
-315,315,us_crime,1,94,active,ARFF,,,,0.0,128.0,1994.0,1871.0,39202.0,127.0,0.0,0.07499361038208008
-316,316,yeast_ml8,1,94,active,ARFF,2383.0,2.0,34.0,2.0,117.0,2417.0,0.0,0.0,103.0,14.0,0.08003616333007812
-327,327,bridges,3,2,active,ARFF,44.0,54.0,10.0,6.0,13.0,105.0,35.0,61.0,3.0,10.0,0.06098508834838867
-328,328,bridges,4,2,active,ARFF,44.0,54.0,10.0,6.0,13.0,105.0,35.0,61.0,0.0,13.0,0.0605010986328125
-329,329,hayes-roth,1,2,active,ARFF,65.0,3.0,31.0,3.0,5.0,160.0,0.0,0.0,4.0,1.0,0.04902148246765137
-333,333,monks-problems-1,1,2,active,ARFF,278.0,4.0,278.0,2.0,7.0,556.0,0.0,0.0,0.0,7.0,0.0549769401550293
-334,334,monks-problems-2,1,2,active,ARFF,395.0,4.0,206.0,2.0,7.0,601.0,0.0,0.0,0.0,7.0,0.05065298080444336
-335,335,monks-problems-3,1,2,active,ARFF,288.0,4.0,266.0,2.0,7.0,554.0,0.0,0.0,0.0,7.0,0.05604147911071777
-336,336,SPECT,1,2,active,ARFF,212.0,2.0,55.0,2.0,23.0,267.0,0.0,0.0,0.0,23.0,0.06699633598327637
-337,337,SPECTF,1,2,active,ARFF,254.0,2.0,95.0,2.0,45.0,349.0,0.0,0.0,44.0,1.0,0.05796527862548828
-338,338,grub-damage,1,2,active,ARFF,49.0,21.0,19.0,4.0,9.0,155.0,0.0,0.0,2.0,7.0,0.05102276802062988
-339,339,pasture,1,2,active,ARFF,12.0,4.0,12.0,3.0,23.0,36.0,0.0,0.0,21.0,2.0,0.058012962341308594
-340,340,squash-stored,1,2,active,ARFF,23.0,22.0,8.0,3.0,25.0,52.0,2.0,7.0,21.0,4.0,0.0579679012298584
-342,342,squash-unstored,1,2,active,ARFF,24.0,22.0,4.0,3.0,24.0,52.0,9.0,39.0,20.0,4.0,0.05199718475341797
-343,343,white-clover,1,2,active,ARFF,38.0,7.0,1.0,4.0,32.0,63.0,0.0,0.0,27.0,5.0,0.04999661445617676
-344,344,mv,1,2,active,ARFF,,3.0,,0.0,11.0,40768.0,0.0,0.0,8.0,3.0,0.05802416801452637
-346,346,aids,1,2,active,ARFF,25.0,5.0,25.0,2.0,5.0,50.0,0.0,0.0,2.0,3.0,0.04797792434692383
-350,350,webdata_wXa,1,167,active,Sparse_ARFF,28100.0,2.0,8874.0,2.0,124.0,36974.0,0.0,0.0,123.0,1.0,0.1900014877319336
-351,351,codrna,1,167,active,Sparse_ARFF,325710.0,2.0,162855.0,2.0,9.0,488565.0,0.0,0.0,8.0,1.0,0.5369982719421387
-354,354,poker,1,167,active,Sparse_ARFF,513702.0,2.0,511308.0,2.0,11.0,1025010.0,0.0,0.0,10.0,1.0,1.4443817138671875
-357,357,vehicle_sensIT,1,167,active,Sparse_ARFF,49264.0,2.0,49264.0,2.0,101.0,98528.0,0.0,0.0,100.0,1.0,1.514763593673706
-372,372,internet_usage,1,2,active,ARFF,2878.0,10108.0,6.0,46.0,72.0,10108.0,2699.0,2699.0,0.0,72.0,0.2239992618560791
-373,373,UNIX_user_data,1,2,active,ARFF,2425.0,9.0,484.0,9.0,3.0,9100.0,0.0,0.0,1.0,1.0,0.062001943588256836
-374,374,SyskillWebert-BioMedical,1,2,active,ARFF,96.0,3.0,3.0,3.0,3.0,131.0,0.0,0.0,0.0,1.0,0.053995609283447266
-375,375,JapaneseVowels,1,2,active,ARFF,1614.0,9.0,782.0,9.0,15.0,9961.0,0.0,0.0,14.0,1.0,0.058999061584472656
-376,376,SyskillWebert-Sheep,1,2,active,ARFF,51.0,2.0,14.0,2.0,3.0,65.0,0.0,0.0,0.0,1.0,0.048006534576416016
-377,377,synthetic_control,1,2,active,ARFF,100.0,6.0,100.0,6.0,62.0,600.0,0.0,0.0,60.0,2.0,0.05799412727355957
-378,378,ipums_la_99-small,1,2,active,ARFF,5803.0,3890.0,197.0,7.0,61.0,8844.0,8844.0,51515.0,0.0,61.0,0.22504186630249023
-379,379,SyskillWebert-Goats,1,2,active,ARFF,37.0,3.0,1.0,3.0,3.0,70.0,0.0,0.0,0.0,1.0,0.054865121841430664
-380,380,SyskillWebert-Bands,1,2,active,ARFF,39.0,3.0,7.0,3.0,3.0,61.0,0.0,0.0,0.0,1.0,0.05000019073486328
-381,381,ipums_la_98-small,1,2,active,ARFF,4802.0,3594.0,71.0,7.0,61.0,7485.0,7485.0,52048.0,0.0,61.0,0.1860036849975586
-382,382,ipums_la_97-small,1,2,active,ARFF,1938.0,488.0,258.0,8.0,61.0,7019.0,7019.0,48089.0,0.0,61.0,0.1270005702972412
-383,383,tr45.wc,1,2,active,Sparse_ARFF,160.0,10.0,14.0,10.0,8262.0,690.0,0.0,0.0,8261.0,1.0,3.2421884536743164
-384,384,tr21.wc,1,2,active,Sparse_ARFF,231.0,6.0,4.0,6.0,7903.0,336.0,0.0,0.0,7902.0,1.0,3.118865489959717
-385,385,tr31.wc,1,2,active,Sparse_ARFF,352.0,7.0,2.0,7.0,10129.0,927.0,0.0,0.0,10128.0,1.0,4.338490724563599
-386,386,oh15.wc,1,2,active,Sparse_ARFF,157.0,10.0,53.0,10.0,3101.0,913.0,0.0,0.0,3100.0,1.0,1.517108678817749
-387,387,tr11.wc,1,2,active,Sparse_ARFF,132.0,9.0,6.0,9.0,6430.0,414.0,0.0,0.0,6429.0,1.0,3.148996114730835
-388,388,tr23.wc,1,2,active,Sparse_ARFF,91.0,6.0,6.0,6.0,5833.0,204.0,0.0,0.0,5832.0,1.0,2.8365516662597656
-389,389,fbis.wc,1,2,active,Sparse_ARFF,506.0,17.0,38.0,17.0,2001.0,2463.0,0.0,0.0,2000.0,1.0,1.090040683746338
-390,390,new3s.wc,1,2,active,Sparse_ARFF,696.0,44.0,104.0,44.0,26833.0,9558.0,0.0,0.0,26832.0,1.0,13.124119520187378
-391,391,re0.wc,1,2,active,Sparse_ARFF,608.0,13.0,11.0,13.0,2887.0,1504.0,0.0,0.0,2886.0,1.0,1.4429693222045898
-392,392,oh0.wc,1,2,active,Sparse_ARFF,194.0,10.0,51.0,10.0,3183.0,1003.0,0.0,0.0,3182.0,1.0,1.6660001277923584
-393,393,la2s.wc,1,2,active,Sparse_ARFF,905.0,6.0,248.0,6.0,12433.0,3075.0,0.0,0.0,12432.0,1.0,6.071776390075684
-394,394,oh5.wc,1,2,active,Sparse_ARFF,149.0,10.0,59.0,10.0,3013.0,918.0,0.0,0.0,3012.0,1.0,1.5125243663787842
-395,395,re1.wc,1,2,active,Sparse_ARFF,371.0,25.0,10.0,25.0,3759.0,1657.0,0.0,0.0,3758.0,1.0,1.8570399284362793
-396,396,la1s.wc,1,2,active,Sparse_ARFF,943.0,6.0,273.0,6.0,13196.0,3204.0,0.0,0.0,13195.0,1.0,6.503511905670166
-397,397,tr12.wc,1,2,active,Sparse_ARFF,93.0,8.0,9.0,8.0,5805.0,313.0,0.0,0.0,5804.0,1.0,2.7510385513305664
-398,398,wap.wc,1,2,active,Sparse_ARFF,341.0,20.0,5.0,20.0,8461.0,1560.0,0.0,0.0,8460.0,1.0,4.223235368728638
-399,399,ohscal.wc,1,2,active,Sparse_ARFF,1621.0,10.0,709.0,10.0,11466.0,11162.0,0.0,0.0,11465.0,1.0,4.635004281997681
-400,400,tr41.wc,1,2,active,Sparse_ARFF,243.0,10.0,9.0,10.0,7455.0,878.0,0.0,0.0,7454.0,1.0,2.39162278175354
-401,401,oh10.wc,1,2,active,Sparse_ARFF,165.0,10.0,52.0,10.0,3239.0,1050.0,0.0,0.0,3238.0,1.0,1.054962396621704
-402,402,yokohoma2,1,2,active,ARFF,,,,0.0,1143.0,12.0,0.0,0.0,1143.0,0.0,0.08803677558898926
-403,403,heyl,1,2,active,ARFF,,,,0.0,1143.0,11.0,0.0,0.0,1143.0,0.0,0.08600020408630371
-404,404,yokohoma1,1,2,active,ARFF,,,,0.0,1143.0,13.0,0.0,0.0,1143.0,0.0,0.08499956130981445
-405,405,mtp,1,2,active,ARFF,,,,0.0,203.0,4450.0,0.0,0.0,203.0,0.0,0.07900047302246094
-406,406,qsbr_y2,1,2,active,ARFF,,,,0.0,10.0,25.0,0.0,0.0,10.0,0.0,0.036998748779296875
-407,407,krystek,1,2,active,ARFF,,,,0.0,1143.0,30.0,0.0,0.0,1143.0,0.0,0.08600044250488281
-408,408,depreux,1,2,active,ARFF,,,,0.0,1143.0,26.0,0.0,0.0,1143.0,0.0,0.08700180053710938
-409,409,pdgfr,1,2,active,ARFF,,,,0.0,321.0,79.0,0.0,0.0,321.0,0.0,0.059996843338012695
-410,410,carbolenes,1,2,active,ARFF,,,,0.0,1143.0,37.0,0.0,0.0,1143.0,0.0,0.08800649642944336
-411,411,garrat2,1,2,active,ARFF,,,,0.0,1143.0,14.0,0.0,0.0,1143.0,0.0,0.08499431610107422
-412,412,Phen,1,2,active,ARFF,,,,0.0,111.0,22.0,0.0,0.0,111.0,0.0,0.04499959945678711
-413,413,siddiqi,1,2,active,ARFF,,,,0.0,1143.0,10.0,0.0,0.0,1143.0,0.0,0.10687661170959473
-414,414,lewis,1,2,active,ARFF,,,,0.0,1143.0,7.0,0.0,0.0,1143.0,0.0,0.08599448204040527
-415,415,thompson,1,2,active,ARFF,,,,0.0,1143.0,8.0,0.0,0.0,1143.0,0.0,0.0850057601928711
-416,416,yprop_4_1,1,2,active,ARFF,,,,0.0,252.0,8885.0,0.0,0.0,252.0,0.0,0.10199379920959473
-417,417,tsutumi,1,2,active,ARFF,,,,0.0,1143.0,13.0,0.0,0.0,1143.0,0.0,0.08731627464294434
-418,418,strupcz,1,2,active,ARFF,,,,0.0,1143.0,34.0,0.0,0.0,1143.0,0.0,0.08799958229064941
-419,419,PHENETYL1,1,2,active,ARFF,,,,0.0,629.0,22.0,0.0,0.0,629.0,0.0,0.07599902153015137
-420,420,cristalli,1,2,active,ARFF,,,,0.0,1143.0,32.0,0.0,0.0,1143.0,0.0,0.08899998664855957
-421,421,selwood,1,2,active,ARFF,,,,0.0,54.0,31.0,0.0,0.0,54.0,0.0,0.04018354415893555
-422,422,topo_2_1,1,2,active,ARFF,,,,0.0,267.0,8885.0,0.0,0.0,267.0,0.0,0.10808444023132324
-423,423,svensson,1,2,active,ARFF,,,,0.0,1143.0,13.0,0.0,0.0,1143.0,0.0,0.08495950698852539
-424,424,pah,1,2,active,ARFF,,,,0.0,113.0,80.0,0.0,0.0,113.0,0.0,0.04599475860595703
-425,425,penning,1,2,active,ARFF,,,,0.0,1143.0,13.0,0.0,0.0,1143.0,0.0,0.08496761322021484
-426,426,qsfsr1,1,2,active,ARFF,,,,0.0,10.0,20.0,0.0,0.0,10.0,0.0,0.03628039360046387
-427,427,qsfrdhla,1,2,active,ARFF,,,,0.0,34.0,16.0,0.0,0.0,34.0,0.0,0.04008316993713379
-428,428,qsprcmpx,1,2,active,ARFF,,,,0.0,40.0,22.0,0.0,0.0,40.0,0.0,0.0400540828704834
-429,429,qsfsr2,1,2,active,ARFF,,,,0.0,10.0,19.0,0.0,0.0,10.0,0.0,0.03599429130554199
-430,430,mtp2,1,2,active,ARFF,,,,0.0,1143.0,274.0,0.0,0.0,1143.0,0.0,0.09400653839111328
-431,431,qsbralks,1,2,active,ARFF,,,,0.0,22.0,13.0,0.0,0.0,22.0,0.0,0.03799271583557129
-432,432,stevenson,1,2,active,ARFF,,,,0.0,1143.0,5.0,0.0,0.0,1143.0,0.0,0.08600139617919922
-433,433,qsartox,1,2,active,ARFF,,,,0.0,24.0,16.0,0.0,0.0,24.0,0.0,0.03898882865905762
-434,434,benzo32,1,2,active,ARFF,,,,0.0,33.0,195.0,0.0,0.0,33.0,0.0,0.037992238998413086
-435,435,uehling,1,2,active,ARFF,,,,0.0,1143.0,9.0,0.0,0.0,1143.0,0.0,0.08601021766662598
-436,436,rosowky,1,2,active,ARFF,,,,0.0,1143.0,10.0,0.0,0.0,1143.0,0.0,0.08799552917480469
-437,437,garrat,1,2,active,ARFF,,,,0.0,1143.0,10.0,0.0,0.0,1143.0,0.0,0.0850057601928711
-438,438,doherty,1,2,active,ARFF,,,,0.0,1143.0,6.0,0.0,0.0,1143.0,0.0,0.10099172592163086
-439,439,chang,1,2,active,ARFF,,,,0.0,1143.0,34.0,0.0,0.0,1143.0,0.0,0.0890052318572998
-440,440,qsabr2,1,2,active,ARFF,,,,0.0,10.0,15.0,0.0,0.0,10.0,0.0,0.03670907020568848
-441,441,qsabr1,1,2,active,ARFF,,,,0.0,10.0,15.0,0.0,0.0,10.0,0.0,0.03473830223083496
-442,442,qsbr_rw1,1,2,active,ARFF,,,,0.0,51.0,14.0,0.0,0.0,51.0,0.0,0.03978896141052246
-443,443,analcatdata_broadway,1,2,active,ARFF,68.0,7.0,1.0,5.0,10.0,95.0,6.0,9.0,3.0,7.0,0.04293346405029297
-444,444,analcatdata_boxing2,1,2,active,ARFF,71.0,12.0,61.0,2.0,4.0,132.0,0.0,0.0,0.0,4.0,0.03799581527709961
-446,446,prnn_crabs,1,2,active,ARFF,100.0,2.0,100.0,2.0,8.0,200.0,0.0,0.0,6.0,2.0,0.03899717330932617
-448,448,analcatdata_boxing1,1,2,active,ARFF,78.0,12.0,42.0,2.0,4.0,120.0,0.0,0.0,0.0,4.0,0.03597116470336914
-449,449,analcatdata_homerun,1,2,active,ARFF,101.0,7.0,1.0,5.0,28.0,163.0,1.0,9.0,13.0,15.0,0.043001413345336914
-450,450,analcatdata_lawsuit,1,2,active,ARFF,245.0,2.0,19.0,2.0,5.0,264.0,0.0,0.0,3.0,2.0,0.03299760818481445
-451,451,irish,1,2,active,ARFF,278.0,10.0,222.0,2.0,6.0,500.0,32.0,32.0,2.0,4.0,0.03600168228149414
-452,452,analcatdata_broadwaymult,1,2,active,ARFF,118.0,95.0,21.0,7.0,8.0,285.0,18.0,27.0,3.0,5.0,0.04000401496887207
-453,453,analcatdata_bondrate,1,2,active,ARFF,33.0,10.0,1.0,5.0,12.0,57.0,1.0,1.0,4.0,8.0,0.03899526596069336
-454,454,analcatdata_halloffame,1,2,active,ARFF,1215.0,7.0,57.0,3.0,18.0,1340.0,20.0,20.0,15.0,3.0,0.04800128936767578
-455,455,cars,1,2,active,ARFF,254.0,5.0,73.0,3.0,9.0,406.0,14.0,14.0,6.0,3.0,0.039999961853027344
-456,456,analcatdata_birthday,1,2,active,ARFF,,31.0,,0.0,4.0,365.0,30.0,30.0,1.0,3.0,0.03499937057495117
-457,457,prnn_cushings,1,2,active,ARFF,12.0,4.0,2.0,4.0,4.0,27.0,0.0,0.0,2.0,2.0,0.03599882125854492
-458,458,analcatdata_authorship,1,2,active,ARFF,317.0,4.0,55.0,4.0,71.0,841.0,0.0,0.0,70.0,1.0,0.04400014877319336
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-1080,1080,rsctc2010_4,1,2,active,ARFF,51.0,5.0,10.0,5.0,54676.0,113.0,0.0,0.0,54675.0,1.0,2.8030178546905518
-1081,1081,rsctc2010_5,1,2,active,ARFF,43.0,4.0,10.0,4.0,54614.0,89.0,0.0,0.0,54613.0,1.0,2.724001884460449
-1082,1082,rsctc2010_6,1,2,active,ARFF,53.0,5.0,7.0,5.0,59005.0,92.0,0.0,0.0,59004.0,1.0,2.9879918098449707
-1083,1083,mouseType,1,2,active,ARFF,69.0,7.0,13.0,7.0,45102.0,214.0,0.0,0.0,45101.0,1.0,2.389997720718384
-1084,1084,BurkittLymphoma,1,2,active,ARFF,128.0,3.0,44.0,3.0,22284.0,220.0,0.0,0.0,22283.0,1.0,1.2329988479614258
-1085,1085,anthracyclineTaxaneChemotherapy,1,2,active,ARFF,95.0,2.0,64.0,2.0,61360.0,159.0,0.0,0.0,61359.0,1.0,3.1869959831237793
-1086,1086,ovarianTumour,1,2,active,ARFF,245.0,3.0,18.0,3.0,54622.0,283.0,0.0,0.0,54621.0,1.0,3.4279510974884033
-1087,1087,hepatitisC,1,2,active,ARFF,245.0,3.0,18.0,3.0,54622.0,283.0,0.0,0.0,54621.0,1.0,3.402371883392334
-1088,1088,variousCancers_final,1,2,active,ARFF,155.0,9.0,16.0,9.0,54676.0,383.0,0.0,0.0,54675.0,1.0,3.6631181240081787
-1089,1089,USCrime,1,2,active,ARFF,,,,0.0,14.0,47.0,0.0,0.0,14.0,0.0,0.055002689361572266
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-1092,1092,Crash,1,2,active,ARFF,,,,,,,,,,,0.08696460723876953
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-1101,1101,lymphoma_2classes,1,2,active,ARFF,23.0,2.0,22.0,2.0,4027.0,45.0,38.0,5948.0,4026.0,1.0,0.22603607177734375
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-1103,1103,yeast_gene,1,2,active,ARFF,,,,0.0,2884.0,17.0,0.0,0.0,2884.0,0.0,0.16905808448791504
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-1107,1107,tumors_C,1,2,active,ARFF,39.0,2.0,21.0,2.0,7130.0,60.0,0.0,0.0,7129.0,1.0,0.3759806156158447
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-1110,1110,KDDCup99_full,1,2,active,ARFF,2807886.0,70.0,2.0,23.0,42.0,4898431.0,0.0,0.0,34.0,8.0,3.2346041202545166
-1111,1111,KDDCup09_appetency,1,2,active,ARFF,49110.0,15415.0,890.0,2.0,231.0,50000.0,50000.0,8024152.0,192.0,39.0,0.7267246246337891
-1112,1112,KDDCup09_churn,1,2,active,ARFF,46328.0,15415.0,3672.0,2.0,231.0,50000.0,50000.0,8024152.0,192.0,39.0,0.7155601978302002
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-1114,1114,KDDCup09_upselling,1,2,active,ARFF,46318.0,15415.0,3682.0,2.0,231.0,50000.0,50000.0,8024152.0,192.0,39.0,0.8335471153259277
-1115,1115,teachingAssistant,1,2,active,ARFF,52.0,26.0,49.0,3.0,7.0,151.0,0.0,0.0,2.0,5.0,0.03999948501586914
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-1119,1119,adult-census,1,2,active,ARFF,24720.0,41.0,7841.0,2.0,16.0,32561.0,2399.0,4262.0,7.0,9.0,0.052968502044677734
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-1122,1122,AP_Breast_Prostate,1,2,active,ARFF,344.0,2.0,69.0,2.0,10937.0,413.0,0.0,0.0,10936.0,1.0,0.7029674053192139
-1123,1123,AP_Endometrium_Breast,1,2,active,ARFF,344.0,2.0,61.0,2.0,10937.0,405.0,0.0,0.0,10936.0,1.0,0.670039176940918
-1124,1124,AP_Omentum_Uterus,1,2,active,ARFF,124.0,2.0,77.0,2.0,10937.0,201.0,0.0,0.0,10936.0,1.0,0.6439981460571289
-1125,1125,AP_Omentum_Prostate,1,2,active,ARFF,77.0,2.0,69.0,2.0,10937.0,146.0,0.0,0.0,10936.0,1.0,0.5919990539550781
-1126,1126,AP_Colon_Lung,1,2,active,ARFF,286.0,2.0,126.0,2.0,10937.0,412.0,0.0,0.0,10936.0,1.0,0.6889996528625488
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-1167,1167,pc1_req,1,2,active,ARFF,213.0,3.0,107.0,2.0,9.0,320.0,0.0,0.0,7.0,2.0,0.04096341133117676
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-1177,1177,BNG(primary-tumor),1,1,active,ARFF,240693.0,22.0,1417.0,22.0,18.0,1000000.0,0.0,0.0,0.0,18.0,0.16258478164672852
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-1182,1182,BNG(adult),1,1,active,ARFF,759864.0,41.0,240136.0,2.0,15.0,1000000.0,0.0,0.0,2.0,13.0,0.19484448432922363
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-1199,1199,BNG(echoMonths),1,1,active,ARFF,,2.0,,0.0,10.0,17496.0,0.0,0.0,7.0,3.0,0.04099464416503906
-1200,1200,BNG(stock),1,1,active,ARFF,,,,0.0,10.0,59049.0,0.0,0.0,10.0,0.0,0.050000667572021484
-1201,1201,BNG(breastTumor),1,1,active,ARFF,,18.0,,0.0,10.0,116640.0,0.0,0.0,2.0,8.0,0.05899858474731445
-1202,1202,BNG(cpu_small),1,1,active,ARFF,,,,0.0,13.0,1000000.0,0.0,0.0,13.0,0.0,0.2891707420349121
-1203,1203,BNG(pwLinear),1,1,active,ARFF,,,,0.0,11.0,177147.0,0.0,0.0,11.0,0.0,0.0840301513671875
-1204,1204,BNG(wine_quality),1,1,active,ARFF,,,,0.0,12.0,531441.0,0.0,0.0,12.0,0.0,0.16819524765014648
-1205,1205,BNG(Australian),1,1,active,ARFF,573051.0,2.0,426949.0,2.0,15.0,1000000.0,0.0,0.0,14.0,1.0,0.2935800552368164
-1206,1206,BNG(satellite_image),1,1,active,ARFF,,,,0.0,37.0,1000000.0,0.0,0.0,37.0,0.0,0.6633944511413574
-1207,1207,BNG(Ailerons),1,1,active,ARFF,,,,0.0,41.0,1000000.0,0.0,0.0,41.0,0.0,0.7291083335876465
-1208,1208,BNG(libras_move),1,1,active,ARFF,,,,0.0,91.0,1000000.0,0.0,0.0,91.0,0.0,1.5983867645263672
-1209,1209,BNG(vowel),2,1,active,ARFF,91406.0,15.0,90311.0,11.0,13.0,1000000.0,0.0,0.0,10.0,3.0,0.27022218704223633
-1210,1210,BNG(puma32H),1,1,active,ARFF,,,,0.0,33.0,1000000.0,0.0,0.0,33.0,0.0,0.6238501071929932
-1211,1211,BNG(SPECT),1,1,active,ARFF,791580.0,2.0,208420.0,2.0,23.0,1000000.0,0.0,0.0,0.0,23.0,0.18399930000305176
-1212,1212,BNG(SPECTF),1,1,active,ARFF,718700.0,2.0,281300.0,2.0,45.0,1000000.0,0.0,0.0,44.0,1.0,0.830594539642334
-1213,1213,BNG(mv),1,1,active,ARFF,,3.0,,0.0,11.0,78732.0,0.0,0.0,8.0,3.0,0.05400204658508301
-1214,1214,BNG(JapaneseVowels),1,1,active,ARFF,160780.0,9.0,78122.0,9.0,15.0,1000000.0,0.0,0.0,14.0,1.0,0.2982368469238281
-1216,1216,Click_prediction_small,1,2,active,ARFF,1429610.0,2.0,66781.0,2.0,12.0,1496391.0,0.0,0.0,11.0,1.0,0.4739820957183838
-1217,1217,Click_prediction_small,2,2,active,ARFF,142949.0,2.0,6690.0,2.0,12.0,149639.0,0.0,0.0,11.0,1.0,0.08095860481262207
-1218,1218,Click_prediction_small,3,2,active,ARFF,1664406.0,2.0,333004.0,2.0,12.0,1997410.0,0.0,0.0,11.0,1.0,0.5153040885925293
-1219,1219,Click_prediction_small,4,2,active,ARFF,332393.0,2.0,67089.0,2.0,12.0,399482.0,0.0,0.0,11.0,1.0,0.1365058422088623
-1220,1220,Click_prediction_small,5,2,active,ARFF,33220.0,2.0,6728.0,2.0,12.0,39948.0,0.0,0.0,11.0,1.0,0.05172920227050781
-1222,1222,letter-challenge-unlabeled.arff,1,1,active,ARFF,10000.0,2.0,2760.0,3.0,17.0,20000.0,0.0,10000.0,16.0,1.0,0.047994375228881836
-1226,1226,Click_prediction_small,7,1,active,ARFF,399482.0,2.0,67089.0,3.0,12.0,798964.0,0.0,399482.0,11.0,1.0,0.26880550384521484
-1228,1228,nki70.arff,1,1,active,ARFF,,3.0,,0.0,77.0,144.0,0.0,0.0,73.0,4.0,0.046036720275878906
-1233,1233,eating,1,339,active,ARFF,140.0,7.0,119.0,7.0,6374.0,945.0,0.0,0.0,6373.0,1.0,0.5039763450622559
-1235,1235,Agrawal1,1,1,active,ARFF,672045.0,20.0,327955.0,2.0,10.0,1000000.0,0.0,0.0,6.0,4.0,0.19061779975891113
-1236,1236,Stagger1,1,1,active,ARFF,888391.0,3.0,111609.0,2.0,4.0,1000000.0,0.0,0.0,0.0,4.0,0.07203984260559082
-1237,1237,Stagger2,1,1,active,ARFF,555943.0,3.0,444057.0,2.0,4.0,1000000.0,0.0,0.0,0.0,4.0,0.07200145721435547
-1238,1238,Stagger3,1,1,active,ARFF,666429.0,3.0,333571.0,2.0,4.0,1000000.0,0.0,0.0,0.0,4.0,0.07096314430236816
-1240,1240,AirlinesCodrnaAdult,1,1,active,ARFF,603138.0,293.0,473652.0,2.0,30.0,1076790.0,4085.0,7275.0,13.0,17.0,0.4092831611633301
-1241,1241,codrnaNorm,1,1,active,Sparse_ARFF,325710.0,2.0,162855.0,2.0,9.0,488565.0,0.0,0.0,8.0,1.0,0.44204044342041016
-1242,1242,vehicleNorm,1,1,active,Sparse_ARFF,49264.0,2.0,49264.0,2.0,101.0,98528.0,0.0,0.0,100.0,1.0,1.2589592933654785
-1245,1245,lungcancer_shedden,1,29,active,ARFF,,2.0,,0.0,24.0,442.0,0.0,0.0,21.0,3.0,0.04399824142456055
-1351,1351,"BNG(anneal,1000,1)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.36667919158935547
-1352,1352,"BNG(anneal,1000,5)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3726005554199219
-1353,1353,"BNG(anneal,1000,10)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.37465667724609375
-1354,1354,"BNG(anneal,5000,1)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3839282989501953
-1355,1355,"BNG(anneal,5000,5)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3719031810760498
-1356,1356,"BNG(anneal,5000,10)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3966176509857178
-1357,1357,"BNG(anneal,10000,1)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3755474090576172
-1358,1358,"BNG(anneal,10000,5)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.37932252883911133
-1359,1359,"BNG(anneal,10000,10)",1,1,active,ARFF,759652.0,10.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3758523464202881
-1360,1360,"BNG(anneal.ORIG,1000,1)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3684244155883789
-1361,1361,"BNG(anneal.ORIG,1000,5)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.36914587020874023
-1362,1362,"BNG(anneal.ORIG,1000,10)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.38000917434692383
-1363,1363,"BNG(anneal.ORIG,5000,1)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3844926357269287
-1364,1364,"BNG(anneal.ORIG,5000,5)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.36722874641418457
-1365,1365,"BNG(anneal.ORIG,5000,10)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.37090086936950684
-1366,1366,"BNG(anneal.ORIG,10000,1)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.37980127334594727
-1367,1367,"BNG(anneal.ORIG,10000,5)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.37127113342285156
-1368,1368,"BNG(anneal.ORIG,10000,10)",1,1,active,ARFF,759652.0,9.0,555.0,6.0,39.0,1000000.0,0.0,0.0,6.0,33.0,0.3833632469177246
-1369,1369,"BNG(kr-vs-kp,1000,1)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.2649998664855957
-1370,1370,"BNG(kr-vs-kp,1000,5)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.26532721519470215
-1371,1371,"BNG(kr-vs-kp,1000,10)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.2648162841796875
-1372,1372,"BNG(kr-vs-kp,5000,1)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.26375293731689453
-1373,1373,"BNG(kr-vs-kp,5000,5)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.26799917221069336
-1374,1374,"BNG(kr-vs-kp,5000,10)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.2630000114440918
-1375,1375,"BNG(kr-vs-kp,10000,1)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.2593052387237549
-1376,1376,"BNG(kr-vs-kp,10000,5)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.25899505615234375
-1377,1377,"BNG(kr-vs-kp,10000,10)",1,1,active,ARFF,521875.0,3.0,478125.0,2.0,37.0,1000000.0,0.0,0.0,0.0,37.0,0.26014161109924316
-1378,1378,"BNG(letter,1000,1)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.31070947647094727
-1379,1379,"BNG(letter,1000,5)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.32344722747802734
-1380,1380,"BNG(letter,1000,10)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.3151383399963379
-1381,1381,"BNG(letter,5000,1)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.3299999237060547
-1382,1382,"BNG(letter,5000,5)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.32004213333129883
-1383,1383,"BNG(letter,5000,10)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.320662260055542
-1384,1384,"BNG(letter,10000,1)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.3176863193511963
-1385,1385,"BNG(letter,10000,5)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.3191380500793457
-1386,1386,"BNG(letter,10000,10)",1,1,active,ARFF,40765.0,26.0,36811.0,26.0,17.0,1000000.0,0.0,0.0,16.0,1.0,0.3200337886810303
-1387,1387,"BNG(audiology,1000,1)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.4529993534088135
-1388,1388,"BNG(audiology,1000,5)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.44699954986572266
-1389,1389,"BNG(audiology,1000,10)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.46899962425231934
-1390,1390,"BNG(audiology,5000,1)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.4480319023132324
-1391,1391,"BNG(audiology,5000,5)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.45908379554748535
-1392,1392,"BNG(audiology,5000,10)",1,1,active,ARFF,241431.0,24.0,6126.0,24.0,70.0,1000000.0,0.0,0.0,0.0,70.0,0.44703221321105957
-1393,1393,"BNG(autos,1000,1)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3703494071960449
-1394,1394,"BNG(autos,1000,5)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3741729259490967
-1395,1395,"BNG(autos,1000,10)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.355013370513916
-1396,1396,"BNG(autos,5000,1)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.38680577278137207
-1397,1397,"BNG(autos,5000,5)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3688015937805176
-1398,1398,"BNG(autos,5000,10)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3600432872772217
-1399,1399,"BNG(autos,10000,1)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3593003749847412
-1400,1400,"BNG(autos,10000,5)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.3599255084991455
-1401,1401,"BNG(autos,10000,10)",1,1,active,ARFF,323554.0,22.0,2441.0,7.0,26.0,1000000.0,0.0,0.0,15.0,11.0,0.37195491790771484
-1402,1402,"BNG(lymph,1000,1)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.23768830299377441
-1403,1403,"BNG(lymph,1000,5)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.23567533493041992
-1404,1404,"BNG(lymph,1000,10)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.2543461322784424
-1405,1405,"BNG(lymph,5000,1)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.24197077751159668
-1406,1406,"BNG(lymph,5000,5)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.24399399757385254
-1407,1407,"BNG(lymph,5000,10)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.23092293739318848
-1408,1408,"BNG(lymph,10000,1)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.2319343090057373
-1409,1409,"BNG(lymph,10000,5)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.23512768745422363
-1410,1410,"BNG(lymph,10000,10)",1,1,active,ARFF,543495.0,8.0,16508.0,4.0,19.0,1000000.0,0.0,0.0,3.0,16.0,0.23157739639282227
-1412,1412,lungcancer_GSE31210,1,29,active,ARFF,191.0,2.0,35.0,2.0,24.0,226.0,0.0,0.0,21.0,3.0,0.04102587699890137
-1413,1413,MyIris,1,379,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03900551795959473
-1414,1414,Kaggle_bike_sharing_demand_challange,1,391,active,ARFF,,24.0,,0.0,12.0,10886.0,0.0,0.0,6.0,6.0,0.02900862693786621
-1419,1419,contact-lenses,1,255,active,ARFF,,3.0,,,5.0,24.0,0.0,0.0,0.0,5.0,0.04198741912841797
-1420,1420,cpu.with.vendor,1,255,active,ARFF,,30.0,,,8.0,209.0,0.0,0.0,7.0,1.0,0.03499960899353027
-1424,1424,a3a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.1240077018737793
-1425,1425,a4a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.12899160385131836
-1426,1426,a5a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.11997103691101074
-1427,1427,a6a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.12003517150878906
-1428,1428,a7a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.12499451637268066
-1429,1429,a8a,1,402,active,Sparse_ARFF,,,,0.0,124.0,32561.0,0.0,0.0,124.0,0.0,0.11800646781921387
-1430,1430,a9a,1,402,active,Sparse_ARFF,,,,0.0,124.0,48842.0,0.0,0.0,124.0,0.0,0.16900300979614258
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-1556,1556,acute-inflammations,2,64,active,ARFF,61.0,2.0,59.0,2.0,7.0,120.0,0.0,0.0,1.0,6.0,0.035001516342163086
-1557,1557,abalone,3,64,active,ARFF,1447.0,3.0,1323.0,3.0,9.0,4177.0,0.0,0.0,7.0,2.0,0.03699994087219238
-1558,1558,bank-marketing,2,64,active,ARFF,4000.0,12.0,521.0,2.0,17.0,4521.0,0.0,0.0,7.0,10.0,0.0559992790222168
-1559,1559,breast-tissue,2,64,active,ARFF,49.0,4.0,14.0,4.0,10.0,106.0,0.0,0.0,9.0,1.0,0.03700065612792969
-1560,1560,cardiotocography,2,64,active,ARFF,1655.0,3.0,176.0,3.0,36.0,2126.0,0.0,0.0,35.0,1.0,0.0410003662109375
-1561,1561,dbworld-bodies-stemmed,1,64,active,ARFF,35.0,2.0,29.0,2.0,3722.0,64.0,0.0,0.0,0.0,3722.0,1.0409972667694092
-1562,1562,dbworld-bodies,1,64,active,ARFF,35.0,2.0,29.0,2.0,4703.0,64.0,0.0,0.0,0.0,4703.0,1.3149986267089844
-1563,1563,dbworld-subjects-stemmed,1,64,active,ARFF,35.0,2.0,29.0,2.0,230.0,64.0,0.0,0.0,0.0,230.0,0.1490013599395752
-1564,1564,dbworld-subjects,1,64,active,ARFF,35.0,2.0,29.0,2.0,243.0,64.0,0.0,0.0,0.0,243.0,0.1529998779296875
-1565,1565,heart-h,3,64,active,ARFF,188.0,5.0,15.0,5.0,14.0,294.0,0.0,0.0,13.0,1.0,0.03703022003173828
-1566,1566,hill-valley,2,64,active,ARFF,612.0,2.0,600.0,2.0,101.0,1212.0,0.0,0.0,100.0,1.0,0.05196952819824219
-1567,1567,poker-hand,1,64,active,ARFF,513701.0,10.0,8.0,10.0,11.0,1025009.0,0.0,0.0,10.0,1.0,0.28253912925720215
-1568,1568,nursery,3,64,active,ARFF,4320.0,5.0,328.0,4.0,9.0,12958.0,0.0,0.0,0.0,9.0,0.04199862480163574
-1569,1569,poker-hand,2,64,active,ARFF,513701.0,9.0,17.0,9.0,11.0,1025000.0,0.0,0.0,10.0,1.0,0.26335811614990234
-1571,1571,fourclass_scale,1,402,active,Sparse_ARFF,,,,0.0,3.0,862.0,0.0,0.0,3.0,0.0,0.033002376556396484
-1572,1572,german.numer,2,402,active,Sparse_ARFF,,,,0.0,25.0,1000.0,0.0,0.0,25.0,0.0,0.04200029373168945
-1574,1574,heart,1,402,active,Sparse_ARFF,,,,0.0,14.0,270.0,0.0,0.0,14.0,0.0,0.03699994087219238
-1575,1575,ijcnn,1,402,active,Sparse_ARFF,,,,0.0,23.0,191681.0,0.0,0.0,23.0,0.0,0.31802988052368164
-1577,1577,rcv1.binary,1,402,active,Sparse_ARFF,,,,0.0,47237.0,697641.0,0.0,0.0,47237.0,0.0,23.20757508277893
-1578,1578,real-sim,1,402,active,Sparse_ARFF,,,,0.0,20959.0,72309.0,0.0,0.0,20959.0,0.0,7.265995740890503
-1579,1579,splice,3,402,active,Sparse_ARFF,,,,0.0,61.0,3175.0,0.0,0.0,61.0,0.0,0.08102750778198242
-1581,1581,w1a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.19797062873840332
-1582,1582,w2a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.2109997272491455
-1583,1583,w3a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.19499969482421875
-1584,1584,w4a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.21699810028076172
-1585,1585,w5a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.2030031681060791
-1586,1586,w6a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.1979992389678955
-1587,1587,w7a,1,402,active,Sparse_ARFF,,,,0.0,301.0,49749.0,0.0,0.0,301.0,0.0,0.20199966430664062
-1588,1588,w8a,1,402,active,Sparse_ARFF,,,,0.0,301.0,64700.0,0.0,0.0,301.0,0.0,0.21500062942504883
-1589,1589,svmguide3,1,402,active,Sparse_ARFF,,,,0.0,23.0,1243.0,0.0,0.0,23.0,0.0,0.049001455307006836
-1590,1590,adult,2,2,active,ARFF,37155.0,41.0,11687.0,2.0,15.0,48842.0,3620.0,6465.0,6.0,9.0,0.05299830436706543
-1591,1591,connect-4,1,402,active,Sparse_ARFF,,,,0.0,127.0,67557.0,0.0,0.0,127.0,0.0,0.39203500747680664
-1592,1592,aloi,1,402,active,Sparse_ARFF,,,,0.0,129.0,108000.0,0.0,0.0,129.0,0.0,0.44402289390563965
-1593,1593,SensIT-Vehicle-Combined,1,402,active,Sparse_ARFF,,,,0.0,101.0,98528.0,0.0,0.0,101.0,0.0,1.2009990215301514
-1594,1594,news20,2,402,active,Sparse_ARFF,,,,0.0,62062.0,19928.0,0.0,0.0,62062.0,0.0,20.154011964797974
-1595,1595,poker,2,402,active,Sparse_ARFF,,,,0.0,11.0,1025010.0,0.0,0.0,11.0,0.0,1.0345027446746826
-1596,1596,covertype,4,2,active,ARFF,283301.0,7.0,2747.0,7.0,55.0,581012.0,0.0,0.0,10.0,45.0,0.3189985752105713
-1597,1597,creditcard,1,470,active,ARFF,284315.0,2.0,492.0,2.0,31.0,284807.0,0.0,0.0,30.0,1.0,0.22812223434448242
-1600,1600,SPECTF,2,555,active,ARFF,212.0,2.0,55.0,2.0,45.0,267.0,0.0,0.0,44.0,1.0,0.044004201889038086
-3040,3040,QSAR-TID-12276,1,62,active,Sparse_ARFF,,,,0.0,1026.0,87.0,0.0,0.0,1025.0,1.0,0.33998847007751465
-3041,3041,QSAR-TID-12475,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.22899985313415527
-3042,3042,QSAR-TID-12886,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.31600522994995117
-3043,3043,QSAR-TID-10113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,131.0,0.0,0.0,1025.0,1.0,0.2949998378753662
-3044,3044,QSAR-TID-12514,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.35076260566711426
-3045,3045,QSAR-TID-17106,1,62,active,Sparse_ARFF,,,,0.0,1026.0,127.0,0.0,0.0,1025.0,1.0,0.2935523986816406
-3046,3046,QSAR-TID-10878,1,62,active,Sparse_ARFF,,,,0.0,1026.0,427.0,0.0,0.0,1025.0,1.0,0.3770265579223633
-3047,3047,QSAR-TID-12949,1,62,active,Sparse_ARFF,,,,0.0,1026.0,389.0,0.0,0.0,1025.0,1.0,0.33797144889831543
-3048,3048,QSAR-TID-12415,1,62,active,Sparse_ARFF,,,,0.0,1026.0,395.0,0.0,0.0,1025.0,1.0,0.3450345993041992
-3049,3049,QSAR-TID-101506,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3699972629547119
-3050,3050,QSAR-TID-11,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5742.0,0.0,0.0,1025.0,1.0,0.4309999942779541
-3051,3051,QSAR-TID-208,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.26099514961242676
-3052,3052,QSAR-TID-10574,1,62,active,Sparse_ARFF,,,,0.0,1026.0,422.0,0.0,0.0,1025.0,1.0,0.3640000820159912
-3053,3053,QSAR-TID-18044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,113.0,0.0,0.0,1025.0,1.0,0.2999720573425293
-3054,3054,QSAR-TID-100140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,821.0,0.0,0.0,1025.0,1.0,0.3850274085998535
-3055,3055,QSAR-TID-17035,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.22100472450256348
-3056,3056,QSAR-TID-100951,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.34899425506591797
-3057,3057,QSAR-TID-100067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.21799921989440918
-3058,3058,QSAR-TID-10444,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.25496840476989746
-3059,3059,QSAR-TID-101557,1,62,active,Sparse_ARFF,,,,0.0,1026.0,732.0,0.0,0.0,1025.0,1.0,0.3790411949157715
-3060,3060,QSAR-TID-11556,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.2699894905090332
-3061,3061,QSAR-TID-17081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,440.0,0.0,0.0,1025.0,1.0,0.331007719039917
-3062,3062,QSAR-TID-10781,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2044.0,0.0,0.0,1025.0,1.0,0.3729984760284424
-3063,3063,QSAR-TID-226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1431.0,0.0,0.0,1025.0,1.0,0.3889942169189453
-3064,3064,QSAR-TID-11156,1,62,active,Sparse_ARFF,,,,0.0,1026.0,838.0,0.0,0.0,1025.0,1.0,0.3529989719390869
-3065,3065,QSAR-TID-102421,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.32599925994873047
-3066,3066,QSAR-TID-12959,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.3489995002746582
-3067,3067,QSAR-TID-101386,1,62,active,Sparse_ARFF,,,,0.0,1026.0,148.0,0.0,0.0,1025.0,1.0,0.334000825881958
-3068,3068,QSAR-TID-11024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2329.0,0.0,0.0,1025.0,1.0,0.3789994716644287
-3069,3069,QSAR-TID-10475,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1030.0,0.0,0.0,1025.0,1.0,0.3839993476867676
-3070,3070,QSAR-TID-65,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1515.0,0.0,0.0,1025.0,1.0,0.35899972915649414
-3071,3071,QSAR-TID-100975,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.3320047855377197
-3072,3072,QSAR-TID-100671,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.27599453926086426
-3073,3073,QSAR-TID-191,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4442.0,0.0,0.0,1025.0,1.0,0.4076366424560547
-3074,3074,QSAR-TID-100835,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.33500027656555176
-3075,3075,QSAR-TID-10378,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1330.0,0.0,0.0,1025.0,1.0,0.38500523567199707
-3076,3076,QSAR-TID-12507,1,62,active,Sparse_ARFF,,,,0.0,1026.0,314.0,0.0,0.0,1025.0,1.0,0.3159935474395752
-3077,3077,QSAR-TID-11453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.26700425148010254
-3078,3078,QSAR-TID-100621,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.22399520874023438
-3079,3079,QSAR-TID-10849,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1580.0,0.0,0.0,1025.0,1.0,0.390002965927124
-3080,3080,QSAR-TID-101508,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.3540010452270508
-3081,3081,QSAR-TID-234,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2145.0,0.0,0.0,1025.0,1.0,0.37400007247924805
-3082,3082,QSAR-TID-11694,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.305999755859375
-3083,3083,QSAR-TID-103169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24099397659301758
-3084,3084,QSAR-TID-103561,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.2600057125091553
-3085,3085,QSAR-TID-10250,1,62,active,Sparse_ARFF,,,,0.0,1026.0,124.0,0.0,0.0,1025.0,1.0,0.3609938621520996
-3086,3086,QSAR-TID-30007,1,62,active,Sparse_ARFF,,,,0.0,1026.0,534.0,0.0,0.0,1025.0,1.0,0.350006103515625
-3087,3087,QSAR-TID-101124,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.22699356079101562
-3088,3088,QSAR-TID-11451,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2442.0,0.0,0.0,1025.0,1.0,0.3760049343109131
-3089,3089,QSAR-TID-10051,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1007.0,0.0,0.0,1025.0,1.0,0.37999510765075684
-3090,3090,QSAR-TID-10981,1,62,active,Sparse_ARFF,,,,0.0,1026.0,262.0,0.0,0.0,1025.0,1.0,0.3169991970062256
-3091,3091,QSAR-TID-10478,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.32899999618530273
-3092,3092,QSAR-TID-10009,1,62,active,Sparse_ARFF,,,,0.0,1026.0,714.0,0.0,0.0,1025.0,1.0,0.3809995651245117
-3093,3093,QSAR-TID-10659,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3299994468688965
-3094,3094,QSAR-TID-101097,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.2669997215270996
-3095,3095,QSAR-TID-101105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2500002384185791
-3096,3096,QSAR-TID-52,1,62,active,Sparse_ARFF,,,,0.0,1026.0,877.0,0.0,0.0,1025.0,1.0,0.35899996757507324
-3097,3097,QSAR-TID-20174,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1201.0,0.0,0.0,1025.0,1.0,0.3599989414215088
-3098,3098,QSAR-TID-100908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.3620002269744873
-3099,3099,QSAR-TID-100479,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.23799943923950195
-3100,3100,QSAR-TID-10530,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.25100016593933105
-3101,3101,QSAR-TID-30049,1,62,active,Sparse_ARFF,,,,0.0,1026.0,733.0,0.0,0.0,1025.0,1.0,0.3590047359466553
-3102,3102,QSAR-TID-101505,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.26199913024902344
-3103,3103,QSAR-TID-250,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2446.0,0.0,0.0,1025.0,1.0,0.3789956569671631
-3104,3104,QSAR-TID-10075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,161.0,0.0,0.0,1025.0,1.0,0.26999878883361816
-3105,3105,QSAR-TID-11300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1616.0,0.0,0.0,1025.0,1.0,0.391002893447876
-3106,3106,QSAR-TID-19904,1,62,active,Sparse_ARFF,,,,0.0,1026.0,584.0,0.0,0.0,1025.0,1.0,0.3510017395019531
-3107,3107,QSAR-TID-12078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.2520413398742676
-3108,3108,QSAR-TID-10506,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.21800565719604492
-3109,3109,QSAR-TID-10227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.25099897384643555
-3110,3110,QSAR-TID-10766,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.2780008316040039
-3111,3111,QSAR-TID-102406,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.26099324226379395
-3112,3112,QSAR-TID-12407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.31197118759155273
-3113,3113,QSAR-TID-100080,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1157.0,0.0,0.0,1025.0,1.0,0.3660292625427246
-3114,3114,QSAR-TID-11866,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.23599934577941895
-3115,3115,QSAR-TID-11242,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1107.0,0.0,0.0,1025.0,1.0,0.37196874618530273
-3116,3116,QSAR-TID-30000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.32903075218200684
-3117,3117,QSAR-TID-11017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.354968786239624
-3118,3118,QSAR-TID-17084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1863.0,0.0,0.0,1025.0,1.0,0.36371302604675293
-3119,3119,QSAR-TID-227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1238.0,0.0,0.0,1025.0,1.0,0.3769984245300293
-3120,3120,QSAR-TID-102465,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.36597180366516113
-3121,3121,QSAR-TID-11036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,396.0,0.0,0.0,1025.0,1.0,0.35599827766418457
-3122,3122,QSAR-TID-12014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.30190110206604004
-3123,3123,QSAR-TID-30044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3621664047241211
-3124,3124,QSAR-TID-30010,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.33499860763549805
-3125,3125,QSAR-TID-20014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2625.0,0.0,0.0,1025.0,1.0,0.5009686946868896
-3126,3126,QSAR-TID-100416,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.41100072860717773
-3127,3127,QSAR-TID-12689,1,62,active,Sparse_ARFF,,,,0.0,1026.0,575.0,0.0,0.0,1025.0,1.0,0.4460020065307617
-3128,3128,QSAR-TID-12863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2910315990447998
-3129,3129,QSAR-TID-280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3438.0,0.0,0.0,1025.0,1.0,0.475966215133667
-3130,3130,QSAR-TID-11043,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.31603288650512695
-3131,3131,QSAR-TID-23,1,62,active,Sparse_ARFF,,,,0.0,1026.0,198.0,0.0,0.0,1025.0,1.0,0.3359944820404053
-3132,3132,QSAR-TID-11473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1529.0,0.0,0.0,1025.0,1.0,0.3863544464111328
-3133,3133,QSAR-TID-11004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,214.0,0.0,0.0,1025.0,1.0,0.3000342845916748
-3134,3134,QSAR-TID-10842,1,62,active,Sparse_ARFF,,,,0.0,1026.0,782.0,0.0,0.0,1025.0,1.0,0.3519926071166992
-3135,3135,QSAR-TID-101359,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.3520047664642334
-3136,3136,QSAR-TID-12847,1,62,active,Sparse_ARFF,,,,0.0,1026.0,215.0,0.0,0.0,1025.0,1.0,0.3269975185394287
-3137,3137,QSAR-TID-100286,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.23299670219421387
-3138,3138,QSAR-TID-30032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,107.0,0.0,0.0,1025.0,1.0,0.3659696578979492
-3139,3139,QSAR-TID-20113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,728.0,0.0,0.0,1025.0,1.0,0.4719984531402588
-3140,3140,QSAR-TID-100063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.4455220699310303
-3141,3141,QSAR-TID-12725,1,62,active,Sparse_ARFF,,,,0.0,1026.0,141.0,0.0,0.0,1025.0,1.0,0.3709990978240967
-3142,3142,QSAR-TID-12252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2998.0,0.0,0.0,1025.0,1.0,0.38703060150146484
-3143,3143,QSAR-TID-20139,1,62,active,Sparse_ARFF,,,,0.0,1026.0,108.0,0.0,0.0,1025.0,1.0,0.32700395584106445
-3144,3144,QSAR-TID-100836,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3809638023376465
-3145,3145,QSAR-TID-12067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,406.0,0.0,0.0,1025.0,1.0,0.44803428649902344
-3146,3146,QSAR-TID-10496,1,62,active,Sparse_ARFF,,,,0.0,1026.0,40.0,0.0,0.0,1025.0,1.0,0.2669689655303955
-3147,3147,QSAR-TID-100027,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.2599966526031494
-3148,3148,QSAR-TID-11559,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.3610036373138428
-3149,3149,QSAR-TID-13005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,124.0,0.0,0.0,1025.0,1.0,0.35202574729919434
-3150,3150,QSAR-TID-101231,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35899949073791504
-3151,3151,QSAR-TID-30024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.4269685745239258
-3152,3152,QSAR-TID-11908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.38100266456604004
-3153,3153,QSAR-TID-197,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1243.0,0.0,0.0,1025.0,1.0,0.3829987049102783
-3154,3154,QSAR-TID-101448,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.34102845191955566
-3155,3155,QSAR-TID-11044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,63.0,0.0,0.0,1025.0,1.0,0.38734889030456543
-3156,3156,QSAR-TID-100107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.28302669525146484
-3157,3157,QSAR-TID-101110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,186.0,0.0,0.0,1025.0,1.0,0.33156251907348633
-3158,3158,QSAR-TID-20104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.31603169441223145
-3159,3159,QSAR-TID-20020,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.3489992618560791
-3160,3160,QSAR-TID-103111,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.25696802139282227
-3161,3161,QSAR-TID-10929,1,62,active,Sparse_ARFF,,,,0.0,1026.0,154.0,0.0,0.0,1025.0,1.0,0.4049994945526123
-3162,3162,QSAR-TID-11785,1,62,active,Sparse_ARFF,,,,0.0,1026.0,413.0,0.0,0.0,1025.0,1.0,0.36300039291381836
-3163,3163,QSAR-TID-20158,1,62,active,Sparse_ARFF,,,,0.0,1026.0,257.0,0.0,0.0,1025.0,1.0,0.3339998722076416
-3164,3164,QSAR-TID-136,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4085.0,0.0,0.0,1025.0,1.0,0.46038341522216797
-3165,3165,QSAR-TID-129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4089.0,0.0,0.0,1025.0,1.0,0.4084787368774414
-3166,3166,QSAR-TID-279,1,62,active,Sparse_ARFF,,,,0.0,1026.0,126.0,0.0,0.0,1025.0,1.0,0.30387449264526367
-3167,3167,QSAR-TID-100848,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.26900482177734375
-3168,3168,QSAR-TID-100869,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.26199960708618164
-3169,3169,QSAR-TID-10541,1,62,active,Sparse_ARFF,,,,0.0,1026.0,151.0,0.0,0.0,1025.0,1.0,0.3380005359649658
-3170,3170,QSAR-TID-17075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.2509617805480957
-3171,3171,QSAR-TID-101309,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.34799957275390625
-3172,3172,QSAR-TID-12950,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.24499988555908203
-3173,3173,QSAR-TID-101584,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3510012626647949
-3174,3174,QSAR-TID-100163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24700379371643066
-3175,3175,QSAR-TID-103900,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.34699416160583496
-3176,3176,QSAR-TID-100871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.26847362518310547
-3177,3177,QSAR-TID-103063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.34760093688964844
-3178,3178,QSAR-TID-11140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3429.0,0.0,0.0,1025.0,1.0,0.5446302890777588
-3179,3179,QSAR-TID-100430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,126.0,0.0,0.0,1025.0,1.0,0.35002708435058594
-3180,3180,QSAR-TID-12162,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.316972017288208
-3181,3181,QSAR-TID-133,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3151.0,0.0,0.0,1025.0,1.0,0.4250040054321289
-3182,3182,QSAR-TID-10266,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1932.0,0.0,0.0,1025.0,1.0,0.4130227565765381
-3183,3183,QSAR-TID-30008,1,62,active,Sparse_ARFF,,,,0.0,1026.0,837.0,0.0,0.0,1025.0,1.0,0.3588898181915283
-3184,3184,QSAR-TID-10116,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.42200446128845215
-3185,3185,QSAR-TID-11755,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1089.0,0.0,0.0,1025.0,1.0,0.41699957847595215
-3186,3186,QSAR-TID-100120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.23696637153625488
-3187,3187,QSAR-TID-266,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.3060328960418701
-3188,3188,QSAR-TID-100483,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.33500003814697266
-3189,3189,QSAR-TID-101356,1,62,active,Sparse_ARFF,,,,0.0,1026.0,58.0,0.0,0.0,1025.0,1.0,0.2709674835205078
-3190,3190,QSAR-TID-101548,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.30303144454956055
-3191,3191,QSAR-TID-11403,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.2545647621154785
-3192,3192,QSAR-TID-102807,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.25477075576782227
-3193,3193,QSAR-TID-10188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3889.0,0.0,0.0,1025.0,1.0,0.45999956130981445
-3194,3194,QSAR-TID-101239,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.33263611793518066
-3195,3195,QSAR-TID-100857,1,62,active,Sparse_ARFF,,,,0.0,1026.0,319.0,0.0,0.0,1025.0,1.0,0.41896820068359375
-3196,3196,QSAR-TID-102,1,62,active,Sparse_ARFF,,,,0.0,1026.0,534.0,0.0,0.0,1025.0,1.0,0.3510310649871826
-3197,3197,QSAR-TID-10918,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1238.0,0.0,0.0,1025.0,1.0,0.3599684238433838
-3198,3198,QSAR-TID-10074,1,62,active,Sparse_ARFF,,,,0.0,1026.0,377.0,0.0,0.0,1025.0,1.0,0.41752004623413086
-3199,3199,QSAR-TID-30045,1,62,active,Sparse_ARFF,,,,0.0,1026.0,655.0,0.0,0.0,1025.0,1.0,0.37796831130981445
-3200,3200,QSAR-TID-100843,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.225999116897583
-3201,3201,QSAR-TID-11631,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1255.0,0.0,0.0,1025.0,1.0,0.35700011253356934
-3202,3202,QSAR-TID-10280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3134.0,0.0,0.0,1025.0,1.0,0.4830315113067627
-3203,3203,QSAR-TID-11574,1,62,active,Sparse_ARFF,,,,0.0,1026.0,230.0,0.0,0.0,1025.0,1.0,0.3169996738433838
-3204,3204,QSAR-TID-14071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.23196721076965332
-3205,3205,QSAR-TID-11969,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1246.0,0.0,0.0,1025.0,1.0,0.3770003318786621
-3206,3206,QSAR-TID-101055,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.32403087615966797
-3207,3207,QSAR-TID-12894,1,62,active,Sparse_ARFF,,,,0.0,1026.0,483.0,0.0,0.0,1025.0,1.0,0.36997079849243164
-3208,3208,QSAR-TID-12238,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2729969024658203
-3209,3209,QSAR-TID-100426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,123.0,0.0,0.0,1025.0,1.0,0.2890317440032959
-3210,3210,QSAR-TID-275,1,62,active,Sparse_ARFF,,,,0.0,1026.0,477.0,0.0,0.0,1025.0,1.0,0.3379688262939453
-3211,3211,QSAR-TID-20157,1,62,active,Sparse_ARFF,,,,0.0,1026.0,63.0,0.0,0.0,1025.0,1.0,0.2779991626739502
-3212,3212,QSAR-TID-12000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,366.0,0.0,0.0,1025.0,1.0,0.36099958419799805
-3213,3213,QSAR-TID-101464,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1044.0,0.0,0.0,1025.0,1.0,0.36699962615966797
-3214,3214,QSAR-TID-100590,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.22701406478881836
-3215,3215,QSAR-TID-235,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1560.0,0.0,0.0,1025.0,1.0,0.3809850215911865
-3216,3216,QSAR-TID-11414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.2870001792907715
-3217,3217,QSAR-TID-278,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2256.0,0.0,0.0,1025.0,1.0,0.37399983406066895
-3218,3218,QSAR-TID-30021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,92.0,0.0,0.0,1025.0,1.0,0.37200236320495605
-3219,3219,QSAR-TID-103456,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3229966163635254
-3220,3220,QSAR-TID-20151,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1427.0,0.0,0.0,1025.0,1.0,0.3549995422363281
-3221,3221,QSAR-TID-17120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,731.0,0.0,0.0,1025.0,1.0,0.37999939918518066
-3222,3222,QSAR-TID-10839,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1891.0,0.0,0.0,1025.0,1.0,0.37603187561035156
-3223,3223,QSAR-TID-11774,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2239680290222168
-3224,3224,QSAR-TID-12840,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1608.0,0.0,0.0,1025.0,1.0,0.3580319881439209
-3225,3225,QSAR-TID-20025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.34596872329711914
-3226,3226,QSAR-TID-103452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3210296630859375
-3227,3227,QSAR-TID-100867,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.26396822929382324
-3228,3228,QSAR-TID-12391,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.24699997901916504
-3229,3229,QSAR-TID-12265,1,62,active,Sparse_ARFF,,,,0.0,1026.0,636.0,0.0,0.0,1025.0,1.0,0.3379995822906494
-3230,3230,QSAR-TID-10930,1,62,active,Sparse_ARFF,,,,0.0,1026.0,560.0,0.0,0.0,1025.0,1.0,0.3450314998626709
-3231,3231,QSAR-TID-10979,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1671.0,0.0,0.0,1025.0,1.0,0.3827648162841797
-3232,3232,QSAR-TID-102988,1,62,active,Sparse_ARFF,,,,0.0,1026.0,88.0,0.0,0.0,1025.0,1.0,0.2579679489135742
-3233,3233,QSAR-TID-30038,1,62,active,Sparse_ARFF,,,,0.0,1026.0,106.0,0.0,0.0,1025.0,1.0,0.3430311679840088
-3234,3234,QSAR-TID-10653,1,62,active,Sparse_ARFF,,,,0.0,1026.0,645.0,0.0,0.0,1025.0,1.0,0.34396791458129883
-3235,3235,QSAR-TID-101360,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.34200000762939453
-3236,3236,QSAR-TID-12506,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.2329998016357422
-3237,3237,QSAR-TID-12752,1,62,active,Sparse_ARFF,,,,0.0,1026.0,49.0,0.0,0.0,1025.0,1.0,0.22899985313415527
-3238,3238,QSAR-TID-11711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.234999418258667
-3239,3239,QSAR-TID-11902,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.35199975967407227
-3240,3240,QSAR-TID-10871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2560000419616699
-3241,3241,QSAR-TID-101538,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.31999921798706055
-3242,3242,QSAR-TID-11558,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2669260501861572
-3243,3243,QSAR-TID-193,1,62,active,Sparse_ARFF,,,,0.0,1026.0,199.0,0.0,0.0,1025.0,1.0,0.32900547981262207
-3244,3244,QSAR-TID-103101,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.23099517822265625
-3245,3245,QSAR-TID-10701,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.3040041923522949
-3246,3246,QSAR-TID-19623,1,62,active,Sparse_ARFF,,,,0.0,1026.0,656.0,0.0,0.0,1025.0,1.0,0.3959951400756836
-3247,3247,QSAR-TID-12366,1,62,active,Sparse_ARFF,,,,0.0,1026.0,162.0,0.0,0.0,1025.0,1.0,0.3030052185058594
-3248,3248,QSAR-TID-104499,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.22399425506591797
-3249,3249,QSAR-TID-11265,1,62,active,Sparse_ARFF,,,,0.0,1026.0,740.0,0.0,0.0,1025.0,1.0,0.36696767807006836
-3250,3250,QSAR-TID-19642,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.22803139686584473
-3251,3251,QSAR-TID-12967,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2756.0,0.0,0.0,1025.0,1.0,0.38500523567199707
-3252,3252,QSAR-TID-100858,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.29096269607543945
-3253,3253,QSAR-TID-11104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.30700135231018066
-3254,3254,QSAR-TID-101496,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35099148750305176
-3255,3255,QSAR-TID-12786,1,62,active,Sparse_ARFF,,,,0.0,1026.0,624.0,0.0,0.0,1025.0,1.0,0.40799856185913086
-3256,3256,QSAR-TID-12688,1,62,active,Sparse_ARFF,,,,0.0,1026.0,213.0,0.0,0.0,1025.0,1.0,0.40000152587890625
-3257,3257,QSAR-TID-236,1,62,active,Sparse_ARFF,,,,0.0,1026.0,411.0,0.0,0.0,1025.0,1.0,0.3859984874725342
-3258,3258,QSAR-TID-10628,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.3375716209411621
-3259,3259,QSAR-TID-219,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1584.0,0.0,0.0,1025.0,1.0,0.4209706783294678
-3260,3260,QSAR-TID-100860,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.3270292282104492
-3261,3261,QSAR-TID-101533,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.24299192428588867
-3262,3262,QSAR-TID-12261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1842.0,0.0,0.0,1025.0,1.0,0.4769735336303711
-3263,3263,QSAR-TID-100817,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.250995397567749
-3264,3264,QSAR-TID-10019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.25903749465942383
-3265,3265,QSAR-TID-10906,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1004.0,0.0,0.0,1025.0,1.0,0.37099313735961914
-3266,3266,QSAR-TID-11169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.2909688949584961
-3267,3267,QSAR-TID-17061,1,62,active,Sparse_ARFF,,,,0.0,1026.0,152.0,0.0,0.0,1025.0,1.0,0.3220357894897461
-3268,3268,QSAR-TID-10461,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.24297165870666504
-3269,3269,QSAR-TID-11142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.30202603340148926
-3270,3270,QSAR-TID-100624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,127.0,0.0,0.0,1025.0,1.0,0.30696678161621094
-3271,3271,QSAR-TID-12169,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.28986334800720215
-3272,3272,QSAR-TID-100865,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.3415415287017822
-3273,3273,QSAR-TID-102401,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.27503037452697754
-3274,3274,QSAR-TID-12867,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.24300050735473633
-3275,3275,QSAR-TID-12944,1,62,active,Sparse_ARFF,,,,0.0,1026.0,887.0,0.0,0.0,1025.0,1.0,0.3690013885498047
-3276,3276,QSAR-TID-101582,1,62,active,Sparse_ARFF,,,,0.0,1026.0,36.0,0.0,0.0,1025.0,1.0,0.27817463874816895
-3277,3277,QSAR-TID-10980,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5766.0,0.0,0.0,1025.0,1.0,0.47757458686828613
-3278,3278,QSAR-TID-61,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2076.0,0.0,0.0,1025.0,1.0,0.44715380668640137
-3279,3279,QSAR-TID-100044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1541.0,0.0,0.0,1025.0,1.0,0.519045352935791
-3280,3280,QSAR-TID-100956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.35381555557250977
-3281,3281,QSAR-TID-12895,1,62,active,Sparse_ARFF,,,,0.0,1026.0,547.0,0.0,0.0,1025.0,1.0,0.4279963970184326
-3282,3282,QSAR-TID-11758,1,62,active,Sparse_ARFF,,,,0.0,1026.0,213.0,0.0,0.0,1025.0,1.0,0.32703566551208496
-3283,3283,QSAR-TID-101348,1,62,active,Sparse_ARFF,,,,0.0,1026.0,819.0,0.0,0.0,1025.0,1.0,0.39362573623657227
-3284,3284,QSAR-TID-18013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.2850072383880615
-3285,3285,QSAR-TID-12485,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.2940845489501953
-3286,3286,QSAR-TID-12687,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1648.0,0.0,0.0,1025.0,1.0,0.3870048522949219
-3287,3287,QSAR-TID-11811,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.26596784591674805
-3288,3288,QSAR-TID-30015,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.34003138542175293
-3289,3289,QSAR-TID-101299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.24899959564208984
-3290,3290,QSAR-TID-20126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,182.0,0.0,0.0,1025.0,1.0,0.32898736000061035
-3291,3291,QSAR-TID-12887,1,62,active,Sparse_ARFF,,,,0.0,1026.0,117.0,0.0,0.0,1025.0,1.0,0.31700706481933594
-3292,3292,QSAR-TID-19689,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.2860066890716553
-3293,3293,QSAR-TID-12569,1,62,active,Sparse_ARFF,,,,0.0,1026.0,891.0,0.0,0.0,1025.0,1.0,0.38199281692504883
-3294,3294,QSAR-TID-11524,1,62,active,Sparse_ARFF,,,,0.0,1026.0,605.0,0.0,0.0,1025.0,1.0,0.3520054817199707
-3295,3295,QSAR-TID-12933,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2469940185546875
-3296,3296,QSAR-TID-11869,1,62,active,Sparse_ARFF,,,,0.0,1026.0,705.0,0.0,0.0,1025.0,1.0,0.3729989528656006
-3297,3297,QSAR-TID-20122,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.259000301361084
-3298,3298,QSAR-TID-12163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,285.0,0.0,0.0,1025.0,1.0,0.3450050354003906
-3299,3299,QSAR-TID-12641,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2589998245239258
-3300,3300,QSAR-TID-12587,1,62,active,Sparse_ARFF,,,,0.0,1026.0,157.0,0.0,0.0,1025.0,1.0,0.3369936943054199
-3301,3301,QSAR-TID-10909,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.3200056552886963
-3302,3302,QSAR-TID-17073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,391.0,0.0,0.0,1025.0,1.0,0.33899927139282227
-3303,3303,QSAR-TID-103451,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2719993591308594
-3304,3304,QSAR-TID-30022,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3269948959350586
-3305,3305,QSAR-TID-134,1,62,active,Sparse_ARFF,,,,0.0,1026.0,878.0,0.0,0.0,1025.0,1.0,0.3509995937347412
-3306,3306,QSAR-TID-100854,1,62,active,Sparse_ARFF,,,,0.0,1026.0,625.0,0.0,0.0,1025.0,1.0,0.38499951362609863
-3307,3307,QSAR-TID-10498,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1748.0,0.0,0.0,1025.0,1.0,0.3730032444000244
-3308,3308,QSAR-TID-10938,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1862.0,0.0,0.0,1025.0,1.0,0.3999819755554199
-3309,3309,QSAR-TID-10850,1,62,active,Sparse_ARFF,,,,0.0,1026.0,622.0,0.0,0.0,1025.0,1.0,0.4399886131286621
-3311,3311,QSAR-TID-100127,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.3490314483642578
-3312,3312,QSAR-TID-10901,1,62,active,Sparse_ARFF,,,,0.0,1026.0,541.0,0.0,0.0,1025.0,1.0,0.4360010623931885
-3313,3313,QSAR-TID-102389,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.346998929977417
-3314,3314,QSAR-TID-12591,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.26599788665771484
-3315,3315,QSAR-TID-90,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2055.0,0.0,0.0,1025.0,1.0,0.41596293449401855
-3316,3316,QSAR-TID-12476,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1023.0,0.0,0.0,1025.0,1.0,0.37603139877319336
-3317,3317,QSAR-TID-100976,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4569072723388672
-3318,3318,QSAR-TID-72,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5354.0,0.0,0.0,1025.0,1.0,0.5176534652709961
-3319,3319,QSAR-TID-20109,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.36593055725097656
-3320,3320,QSAR-TID-186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2639949321746826
-3321,3321,QSAR-TID-101411,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.392362117767334
-3322,3322,QSAR-TID-101338,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.33600425720214844
-3323,3323,QSAR-TID-30035,1,62,active,Sparse_ARFF,,,,0.0,1026.0,678.0,0.0,0.0,1025.0,1.0,0.3809950351715088
-3324,3324,QSAR-TID-100969,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3379983901977539
-3325,3325,QSAR-TID-102913,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.22500014305114746
-3326,3326,QSAR-TID-11055,1,62,active,Sparse_ARFF,,,,0.0,1026.0,46.0,0.0,0.0,1025.0,1.0,0.2700002193450928
-3327,3327,QSAR-TID-101021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3009767532348633
-3328,3328,QSAR-TID-12474,1,62,active,Sparse_ARFF,,,,0.0,1026.0,360.0,0.0,0.0,1025.0,1.0,0.34996747970581055
-3329,3329,QSAR-TID-104138,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.25902771949768066
-3330,3330,QSAR-TID-100851,1,62,active,Sparse_ARFF,,,,0.0,1026.0,526.0,0.0,0.0,1025.0,1.0,0.37500572204589844
-3331,3331,QSAR-TID-12755,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.23499369621276855
-3332,3332,QSAR-TID-17145,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.22300004959106445
-3333,3333,QSAR-TID-10623,1,62,active,Sparse_ARFF,,,,0.0,1026.0,248.0,0.0,0.0,1025.0,1.0,0.3240010738372803
-3334,3334,QSAR-TID-127,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1524.0,0.0,0.0,1025.0,1.0,0.380997896194458
-3335,3335,QSAR-TID-11624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,742.0,0.0,0.0,1025.0,1.0,0.357968807220459
-3336,3336,QSAR-TID-12998,1,62,active,Sparse_ARFF,,,,0.0,1026.0,98.0,0.0,0.0,1025.0,1.0,0.28200531005859375
-3337,3337,QSAR-TID-47,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1953.0,0.0,0.0,1025.0,1.0,0.3939952850341797
-3338,3338,QSAR-TID-10782,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.3330349922180176
-3339,3339,QSAR-TID-100864,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.25199413299560547
-3340,3340,QSAR-TID-13068,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.25800013542175293
-3341,3341,QSAR-TID-30048,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.32700014114379883
-3342,3342,QSAR-TID-11691,1,62,active,Sparse_ARFF,,,,0.0,1026.0,715.0,0.0,0.0,1025.0,1.0,0.3760082721710205
-3343,3343,QSAR-TID-14037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4378.0,0.0,0.0,1025.0,1.0,0.4689633846282959
-3344,3344,QSAR-TID-30017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1058.0,0.0,0.0,1025.0,1.0,0.4460155963897705
-3345,3345,QSAR-TID-17076,1,62,active,Sparse_ARFF,,,,0.0,1026.0,51.0,0.0,0.0,1025.0,1.0,0.2520318031311035
-3346,3346,QSAR-TID-10244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,396.0,0.0,0.0,1025.0,1.0,0.37400388717651367
-3347,3347,QSAR-TID-260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.2739706039428711
-3348,3348,QSAR-TID-10373,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.32999563217163086
-3349,3349,QSAR-TID-246,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1135.0,0.0,0.0,1025.0,1.0,0.47099733352661133
-3350,3350,QSAR-TID-168,1,62,active,Sparse_ARFF,,,,0.0,1026.0,412.0,0.0,0.0,1025.0,1.0,0.39299845695495605
-3351,3351,QSAR-TID-101552,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.4049999713897705
-3352,3352,QSAR-TID-12673,1,62,active,Sparse_ARFF,,,,0.0,1026.0,183.0,0.0,0.0,1025.0,1.0,0.38403987884521484
-3353,3353,QSAR-TID-12666,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2243.0,0.0,0.0,1025.0,1.0,0.4649958610534668
-3354,3354,QSAR-TID-247,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.45897722244262695
-3355,3355,QSAR-TID-10143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3689868450164795
-3356,3356,QSAR-TID-103910,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.38500142097473145
-3357,3357,QSAR-TID-12345,1,62,active,Sparse_ARFF,,,,0.0,1026.0,42.0,0.0,0.0,1025.0,1.0,0.4870009422302246
-3358,3358,QSAR-TID-146,1,62,active,Sparse_ARFF,,,,0.0,1026.0,683.0,0.0,0.0,1025.0,1.0,0.5489964485168457
-3359,3359,QSAR-TID-10982,1,62,active,Sparse_ARFF,,,,0.0,1026.0,600.0,0.0,0.0,1025.0,1.0,0.4946293830871582
-3360,3360,QSAR-TID-10544,1,62,active,Sparse_ARFF,,,,0.0,1026.0,203.0,0.0,0.0,1025.0,1.0,0.422299861907959
-3361,3361,QSAR-TID-103071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,150.0,0.0,0.0,1025.0,1.0,0.39096760749816895
-3362,3362,QSAR-TID-101252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.3719959259033203
-3363,3363,QSAR-TID-19905,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3048.0,0.0,0.0,1025.0,1.0,0.48096680641174316
-3364,3364,QSAR-TID-10880,1,62,active,Sparse_ARFF,,,,0.0,1026.0,955.0,0.0,0.0,1025.0,1.0,0.4194185733795166
-3365,3365,QSAR-TID-10167,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.2952001094818115
-3366,3366,QSAR-TID-10190,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.29735279083251953
-3367,3367,QSAR-TID-12132,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.2958674430847168
-3368,3368,QSAR-TID-252,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4081.0,0.0,0.0,1025.0,1.0,0.4389939308166504
-3370,3370,QSAR-TID-20036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.2700064182281494
-3372,3372,QSAR-TID-10502,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1627.0,0.0,0.0,1025.0,1.0,0.4729626178741455
-3373,3373,QSAR-TID-100155,1,62,active,Sparse_ARFF,,,,0.0,1026.0,138.0,0.0,0.0,1025.0,1.0,0.3105475902557373
-3374,3374,QSAR-TID-11299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.35000109672546387
-3375,3375,QSAR-TID-11085,1,62,active,Sparse_ARFF,,,,0.0,1026.0,712.0,0.0,0.0,1025.0,1.0,0.3640003204345703
-3376,3376,QSAR-TID-12186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.27603864669799805
-3377,3377,QSAR-TID-101585,1,62,active,Sparse_ARFF,,,,0.0,1026.0,58.0,0.0,0.0,1025.0,1.0,0.3049814701080322
-3378,3378,QSAR-TID-11084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,842.0,0.0,0.0,1025.0,1.0,0.40497827529907227
-3379,3379,QSAR-TID-101503,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3880000114440918
-3380,3380,QSAR-TID-101598,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.41474008560180664
-3381,3381,QSAR-TID-17021,1,62,active,Sparse_ARFF,,,,0.0,1026.0,276.0,0.0,0.0,1025.0,1.0,0.3790009021759033
-3382,3382,QSAR-TID-101045,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.35910487174987793
-3383,3383,QSAR-TID-12718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,134.0,0.0,0.0,1025.0,1.0,0.40100622177124023
-3385,3385,QSAR-TID-12029,1,62,active,Sparse_ARFF,,,,0.0,1026.0,28.0,0.0,0.0,1025.0,1.0,0.2854928970336914
-3386,3386,QSAR-TID-104385,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.24699664115905762
-3387,3387,QSAR-TID-11058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.33700060844421387
-3388,3388,QSAR-TID-10501,1,62,active,Sparse_ARFF,,,,0.0,1026.0,147.0,0.0,0.0,1025.0,1.0,0.3769676685333252
-3389,3389,QSAR-TID-12788,1,62,active,Sparse_ARFF,,,,0.0,1026.0,50.0,0.0,0.0,1025.0,1.0,0.3110339641571045
-3390,3390,QSAR-TID-100427,1,62,active,Sparse_ARFF,,,,0.0,1026.0,77.0,0.0,0.0,1025.0,1.0,0.32596588134765625
-3391,3391,QSAR-TID-100992,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.36299920082092285
-3392,3392,QSAR-TID-100918,1,62,active,Sparse_ARFF,,,,0.0,1026.0,88.0,0.0,0.0,1025.0,1.0,0.41300106048583984
-3393,3393,QSAR-TID-11105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,631.0,0.0,0.0,1025.0,1.0,0.47800254821777344
-3394,3394,QSAR-TID-20154,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1024.0,0.0,0.0,1025.0,1.0,0.41199564933776855
-3395,3395,QSAR-TID-13024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.27601051330566406
-3396,3396,QSAR-TID-11269,1,62,active,Sparse_ARFF,,,,0.0,1026.0,614.0,0.0,0.0,1025.0,1.0,0.403989315032959
-3397,3397,QSAR-TID-12703,1,62,active,Sparse_ARFF,,,,0.0,1026.0,226.0,0.0,0.0,1025.0,1.0,0.3880183696746826
-3398,3398,QSAR-TID-10058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,273.0,0.0,0.0,1025.0,1.0,0.36698412895202637
-3399,3399,QSAR-TID-20032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,123.0,0.0,0.0,1025.0,1.0,0.3390047550201416
-3400,3400,QSAR-TID-11863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.3636915683746338
-3401,3401,QSAR-TID-10494,1,62,active,Sparse_ARFF,,,,0.0,1026.0,233.0,0.0,0.0,1025.0,1.0,0.40100741386413574
-3402,3402,QSAR-TID-11081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,843.0,0.0,0.0,1025.0,1.0,0.44399261474609375
-3403,3403,QSAR-TID-240,1,62,active,Sparse_ARFF,,,,0.0,1026.0,272.0,0.0,0.0,1025.0,1.0,0.42200374603271484
-3404,3404,QSAR-TID-10497,1,62,active,Sparse_ARFF,,,,0.0,1026.0,50.0,0.0,0.0,1025.0,1.0,0.3159959316253662
-3405,3405,QSAR-TID-101053,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.6099979877471924
-3406,3406,QSAR-TID-11870,1,62,active,Sparse_ARFF,,,,0.0,1026.0,129.0,0.0,0.0,1025.0,1.0,0.41100072860717773
-3407,3407,QSAR-TID-11977,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.29999780654907227
-3408,3408,QSAR-TID-12336,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.25800132751464844
-3409,3409,QSAR-TID-17134,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.3249983787536621
-3410,3410,QSAR-TID-101152,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.31799960136413574
-3411,3411,QSAR-TID-100859,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.2849996089935303
-3412,3412,QSAR-TID-11364,1,62,active,Sparse_ARFF,,,,0.0,1026.0,969.0,0.0,0.0,1025.0,1.0,0.4160308837890625
-3413,3413,QSAR-TID-10056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,690.0,0.0,0.0,1025.0,1.0,0.476970911026001
-3414,3414,QSAR-TID-10209,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.5909996032714844
-3415,3415,QSAR-TID-101300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,475.0,0.0,0.0,1025.0,1.0,0.8919978141784668
-3416,3416,QSAR-TID-10648,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.4009983539581299
-3417,3417,QSAR-TID-100436,1,62,active,Sparse_ARFF,,,,0.0,1026.0,163.0,0.0,0.0,1025.0,1.0,0.7660021781921387
-3418,3418,QSAR-TID-11249,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.33899855613708496
-3419,3419,QSAR-TID-10368,1,62,active,Sparse_ARFF,,,,0.0,1026.0,882.0,0.0,0.0,1025.0,1.0,0.9330015182495117
-3420,3420,QSAR-TID-100069,1,62,active,Sparse_ARFF,,,,0.0,1026.0,471.0,0.0,0.0,1025.0,1.0,0.714996337890625
-3421,3421,QSAR-TID-11722,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.4250164031982422
-3422,3422,QSAR-TID-12593,1,62,active,Sparse_ARFF,,,,0.0,1026.0,26.0,0.0,0.0,1025.0,1.0,0.47498273849487305
-3423,3423,QSAR-TID-101407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,276.0,0.0,0.0,1025.0,1.0,0.47200441360473633
-3424,3424,QSAR-TID-10728,1,62,active,Sparse_ARFF,,,,0.0,1026.0,172.0,0.0,0.0,1025.0,1.0,0.4919929504394531
-3425,3425,QSAR-TID-10273,1,62,active,Sparse_ARFF,,,,0.0,1026.0,449.0,0.0,0.0,1025.0,1.0,0.5420026779174805
-3426,3426,QSAR-TID-10856,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.376997709274292
-3427,3427,QSAR-TID-10576,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4103.0,0.0,0.0,1025.0,1.0,0.48300600051879883
-3428,3428,QSAR-TID-12128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,407.0,0.0,0.0,1025.0,1.0,0.3700294494628906
-3429,3429,QSAR-TID-11441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,61.0,0.0,0.0,1025.0,1.0,0.3189685344696045
-3430,3430,QSAR-TID-10262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,639.0,0.0,0.0,1025.0,1.0,0.4599947929382324
-3431,3431,QSAR-TID-103441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3770003318786621
-3432,3432,QSAR-TID-11402,1,62,active,Sparse_ARFF,,,,0.0,1026.0,413.0,0.0,0.0,1025.0,1.0,0.3350358009338379
-3433,3433,QSAR-TID-12824,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1261.0,0.0,0.0,1025.0,1.0,0.4389827251434326
-3434,3434,QSAR-TID-11692,1,62,active,Sparse_ARFF,,,,0.0,1026.0,98.0,0.0,0.0,1025.0,1.0,0.2989804744720459
-3435,3435,QSAR-TID-103163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.28403759002685547
-3436,3436,QSAR-TID-101392,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2829933166503906
-3437,3437,QSAR-TID-102981,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.28997254371643066
-3438,3438,QSAR-TID-12853,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3569967746734619
-3439,3439,QSAR-TID-100912,1,62,active,Sparse_ARFF,,,,0.0,1026.0,948.0,0.0,0.0,1025.0,1.0,0.40599775314331055
-3440,3440,QSAR-TID-101269,1,62,active,Sparse_ARFF,,,,0.0,1026.0,675.0,0.0,0.0,1025.0,1.0,0.46699976921081543
-3441,3441,QSAR-TID-11427,1,62,active,Sparse_ARFF,,,,0.0,1026.0,167.0,0.0,0.0,1025.0,1.0,0.35752439498901367
-3442,3442,QSAR-TID-100433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2840299606323242
-3443,3443,QSAR-TID-11989,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.2779970169067383
-3444,3444,QSAR-TID-10970,1,62,active,Sparse_ARFF,,,,0.0,1026.0,763.0,0.0,0.0,1025.0,1.0,0.42293429374694824
-3445,3445,QSAR-TID-12829,1,62,active,Sparse_ARFF,,,,0.0,1026.0,543.0,0.0,0.0,1025.0,1.0,0.42403650283813477
-3447,3447,QSAR-TID-101221,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3809950351715088
-3448,3448,QSAR-TID-12619,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.30998706817626953
-3449,3449,QSAR-TID-10329,1,62,active,Sparse_ARFF,,,,0.0,1026.0,669.0,0.0,0.0,1025.0,1.0,0.5027151107788086
-3450,3450,QSAR-TID-176,1,62,active,Sparse_ARFF,,,,0.0,1026.0,906.0,0.0,0.0,1025.0,1.0,0.3946197032928467
-3451,3451,QSAR-TID-100244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2939727306365967
-3452,3452,QSAR-TID-10184,1,62,active,Sparse_ARFF,,,,0.0,1026.0,941.0,0.0,0.0,1025.0,1.0,0.43787503242492676
-3453,3453,QSAR-TID-10657,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.5605487823486328
-3454,3454,QSAR-TID-12744,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.5706648826599121
-3455,3455,QSAR-TID-100413,1,62,active,Sparse_ARFF,,,,0.0,1026.0,998.0,0.0,0.0,1025.0,1.0,0.47022223472595215
-3456,3456,QSAR-TID-270,1,62,active,Sparse_ARFF,,,,0.0,1026.0,289.0,0.0,0.0,1025.0,1.0,0.41404175758361816
-3457,3457,QSAR-TID-11399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,518.0,0.0,0.0,1025.0,1.0,0.430300235748291
-3458,3458,QSAR-TID-30020,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.4268484115600586
-3459,3459,QSAR-TID-42,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1302.0,0.0,0.0,1025.0,1.0,0.5349781513214111
-3460,3460,QSAR-TID-101041,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5768311023712158
-3461,3461,QSAR-TID-10814,1,62,active,Sparse_ARFF,,,,0.0,1026.0,103.0,0.0,0.0,1025.0,1.0,0.34700441360473633
-3462,3462,QSAR-TID-175,1,62,active,Sparse_ARFF,,,,0.0,1026.0,251.0,0.0,0.0,1025.0,1.0,0.5229806900024414
-3463,3463,QSAR-TID-104260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,71.0,0.0,0.0,1025.0,1.0,0.460568904876709
-3464,3464,QSAR-TID-101460,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5886669158935547
-3465,3465,QSAR-TID-11018,1,62,active,Sparse_ARFF,,,,0.0,1026.0,579.0,0.0,0.0,1025.0,1.0,0.5749902725219727
-3466,3466,QSAR-TID-10688,1,62,active,Sparse_ARFF,,,,0.0,1026.0,44.0,0.0,0.0,1025.0,1.0,0.4829983711242676
-3467,3467,QSAR-TID-10485,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.35199737548828125
-3468,3468,QSAR-TID-12738,1,62,active,Sparse_ARFF,,,,0.0,1026.0,596.0,0.0,0.0,1025.0,1.0,0.5760326385498047
-3469,3469,QSAR-TID-102770,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.5309610366821289
-3470,3470,QSAR-TID-102414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,523.0,0.0,0.0,1025.0,1.0,0.4320042133331299
-3471,3471,QSAR-TID-101079,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.37702369689941406
-3472,3472,QSAR-TID-11154,1,62,active,Sparse_ARFF,,,,0.0,1026.0,688.0,0.0,0.0,1025.0,1.0,0.44700098037719727
-3474,3474,QSAR-TID-10450,1,62,active,Sparse_ARFF,,,,0.0,1026.0,214.0,0.0,0.0,1025.0,1.0,0.45000243186950684
-3475,3475,QSAR-TID-137,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3689.0,0.0,0.0,1025.0,1.0,0.48302674293518066
-3476,3476,QSAR-TID-118,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1362.0,0.0,0.0,1025.0,1.0,0.402968168258667
-3477,3477,QSAR-TID-101602,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.47600269317626953
-3478,3478,QSAR-TID-101324,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.409029483795166
-3479,3479,QSAR-TID-100424,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.3529682159423828
-3480,3480,QSAR-TID-11868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,519.0,0.0,0.0,1025.0,1.0,0.5879981517791748
-3481,3481,QSAR-TID-12787,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2890002727508545
-3482,3482,QSAR-TID-12090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1312.0,0.0,0.0,1025.0,1.0,0.43500232696533203
-3483,3483,QSAR-TID-20023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.3199961185455322
-3484,3484,QSAR-TID-12131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,111.0,0.0,0.0,1025.0,1.0,0.3039994239807129
-3485,3485,QSAR-TID-11199,1,62,active,Sparse_ARFF,,,,0.0,1026.0,104.0,0.0,0.0,1025.0,1.0,0.3410031795501709
-3486,3486,QSAR-TID-11942,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1002.0,0.0,0.0,1025.0,1.0,0.3502793312072754
-3487,3487,QSAR-TID-100962,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.2949831485748291
-3488,3488,QSAR-TID-12227,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1510.0,0.0,0.0,1025.0,1.0,0.42801451683044434
-3489,3489,QSAR-TID-12735,1,62,active,Sparse_ARFF,,,,0.0,1026.0,646.0,0.0,0.0,1025.0,1.0,0.4169957637786865
-3490,3490,QSAR-TID-20033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,273.0,0.0,0.0,1025.0,1.0,0.3319718837738037
-3491,3491,QSAR-TID-11528,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.3249967098236084
-3492,3492,QSAR-TID-100834,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.42104005813598633
-3493,3493,QSAR-TID-101361,1,62,active,Sparse_ARFF,,,,0.0,1026.0,323.0,0.0,0.0,1025.0,1.0,0.4547288417816162
-3494,3494,QSAR-TID-11831,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.35986971855163574
-3495,3495,QSAR-TID-100432,1,62,active,Sparse_ARFF,,,,0.0,1026.0,293.0,0.0,0.0,1025.0,1.0,0.5285584926605225
-3496,3496,QSAR-TID-102774,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.35298752784729004
-3497,3497,QSAR-TID-115,1,62,active,Sparse_ARFF,,,,0.0,1026.0,974.0,0.0,0.0,1025.0,1.0,0.3989243507385254
-3498,3498,QSAR-TID-10616,1,62,active,Sparse_ARFF,,,,0.0,1026.0,249.0,0.0,0.0,1025.0,1.0,0.41199445724487305
-3499,3499,QSAR-TID-101397,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.266035795211792
-3500,3500,QSAR-TID-10452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,482.0,0.0,0.0,1025.0,1.0,0.3956880569458008
-3501,3501,QSAR-TID-100418,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.395479679107666
-3502,3502,QSAR-TID-100993,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4378025531768799
-3503,3503,QSAR-TID-20171,1,62,active,Sparse_ARFF,,,,0.0,1026.0,128.0,0.0,0.0,1025.0,1.0,0.40003442764282227
-3504,3504,QSAR-TID-10526,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1814.0,0.0,0.0,1025.0,1.0,0.4488639831542969
-3505,3505,QSAR-TID-249,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1487.0,0.0,0.0,1025.0,1.0,0.3638181686401367
-3506,3506,QSAR-TID-101399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.3739662170410156
-3507,3507,QSAR-TID-10808,1,62,active,Sparse_ARFF,,,,0.0,1026.0,153.0,0.0,0.0,1025.0,1.0,0.41665029525756836
-3508,3508,QSAR-TID-101182,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4010043144226074
-3509,3509,QSAR-TID-12857,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2741069793701172
-3510,3510,QSAR-TID-12910,1,62,active,Sparse_ARFF,,,,0.0,1026.0,326.0,0.0,0.0,1025.0,1.0,0.36902785301208496
-3511,3511,QSAR-TID-10702,1,62,active,Sparse_ARFF,,,,0.0,1026.0,455.0,0.0,0.0,1025.0,1.0,0.34796810150146484
-3512,3512,QSAR-TID-11726,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.23503518104553223
-3513,3513,QSAR-TID-101222,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.3280014991760254
-3514,3514,QSAR-TID-101237,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2599625587463379
-3515,3515,QSAR-TID-216,1,62,active,Sparse_ARFF,,,,0.0,1026.0,520.0,0.0,0.0,1025.0,1.0,0.390000581741333
-3516,3516,QSAR-TID-10876,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.29303550720214844
-3517,3517,QSAR-TID-87,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4160.0,0.0,0.0,1025.0,1.0,0.4510030746459961
-3518,3518,QSAR-TID-140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.3779592514038086
-3519,3519,QSAR-TID-12809,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.2960343360900879
-3520,3520,QSAR-TID-11209,1,62,active,Sparse_ARFF,,,,0.0,1026.0,95.0,0.0,0.0,1025.0,1.0,0.36800169944763184
-3521,3521,QSAR-TID-10226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.28696513175964355
-3522,3522,QSAR-TID-100629,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.25002145767211914
-3523,3523,QSAR-TID-100425,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.27303051948547363
-3524,3524,QSAR-TID-102734,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.264970064163208
-3525,3525,QSAR-TID-12071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1852.0,0.0,0.0,1025.0,1.0,0.44473981857299805
-3526,3526,QSAR-TID-10012,1,62,active,Sparse_ARFF,,,,0.0,1026.0,224.0,0.0,0.0,1025.0,1.0,0.32897377014160156
-3527,3527,QSAR-TID-10120,1,62,active,Sparse_ARFF,,,,0.0,1026.0,212.0,0.0,0.0,1025.0,1.0,0.41703009605407715
-3528,3528,QSAR-TID-12938,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.35369086265563965
-3529,3529,QSAR-TID-10685,1,62,active,Sparse_ARFF,,,,0.0,1026.0,220.0,0.0,0.0,1025.0,1.0,0.3436119556427002
-3530,3530,QSAR-TID-30002,1,62,active,Sparse_ARFF,,,,0.0,1026.0,646.0,0.0,0.0,1025.0,1.0,0.5203883647918701
-3531,3531,QSAR-TID-174,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2027.0,0.0,0.0,1025.0,1.0,0.4685683250427246
-3532,3532,QSAR-TID-19903,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.32903218269348145
-3533,3533,QSAR-TID-12480,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.3447732925415039
-3534,3534,QSAR-TID-17005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,128.0,0.0,0.0,1025.0,1.0,0.36095309257507324
-3535,3535,QSAR-TID-11003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,866.0,0.0,0.0,1025.0,1.0,0.39618563652038574
-3536,3536,QSAR-TID-12868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.25103116035461426
-3537,3537,QSAR-TID-10649,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.23000240325927734
-3538,3538,QSAR-TID-220,1,62,active,Sparse_ARFF,,,,0.0,1026.0,274.0,0.0,0.0,1025.0,1.0,0.5039613246917725
-3539,3539,QSAR-TID-10371,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.43188047409057617
-3540,3540,QSAR-TID-10081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,248.0,0.0,0.0,1025.0,1.0,0.45099663734436035
-3541,3541,QSAR-TID-20007,1,62,active,Sparse_ARFF,,,,0.0,1026.0,694.0,0.0,0.0,1025.0,1.0,0.4890005588531494
-3542,3542,QSAR-TID-11898,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.3060028553009033
-3543,3543,QSAR-TID-100868,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.2730379104614258
-3544,3544,QSAR-TID-101032,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.4189581871032715
-3545,3545,QSAR-TID-10903,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.4200010299682617
-3546,3546,QSAR-TID-101473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3340270519256592
-3547,3547,QSAR-TID-251,1,62,active,Sparse_ARFF,,,,0.0,1026.0,426.0,0.0,0.0,1025.0,1.0,0.3599705696105957
-3548,3548,QSAR-TID-101340,1,62,active,Sparse_ARFF,,,,0.0,1026.0,86.0,0.0,0.0,1025.0,1.0,0.4280357360839844
-3549,3549,QSAR-TID-101521,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.27397942543029785
-3550,3550,QSAR-TID-11005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.35500407218933105
-3551,3551,QSAR-TID-12913,1,62,active,Sparse_ARFF,,,,0.0,1026.0,800.0,0.0,0.0,1025.0,1.0,0.42902588844299316
-3552,3552,QSAR-TID-10872,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.25797009468078613
-3553,3553,QSAR-TID-11498,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.3690314292907715
-3554,3554,QSAR-TID-101273,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3829803466796875
-3555,3555,QSAR-TID-12807,1,62,active,Sparse_ARFF,,,,0.0,1026.0,146.0,0.0,0.0,1025.0,1.0,0.3989856243133545
-3556,3556,QSAR-TID-148,1,62,active,Sparse_ARFF,,,,0.0,1026.0,404.0,0.0,0.0,1025.0,1.0,0.5680370330810547
-3558,3558,QSAR-TID-100826,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2989997863769531
-3559,3559,QSAR-TID-10489,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.3789656162261963
-3560,3560,QSAR-TID-13067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,540.0,0.0,0.0,1025.0,1.0,0.6099972724914551
-3561,3561,QSAR-TID-17034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,116.0,0.0,0.0,1025.0,1.0,0.40700221061706543
-3562,3562,QSAR-TID-102733,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.37299633026123047
-3563,3563,QSAR-TID-100789,1,62,active,Sparse_ARFF,,,,0.0,1026.0,676.0,0.0,0.0,1025.0,1.0,0.45744967460632324
-3564,3564,QSAR-TID-20112,1,62,active,Sparse_ARFF,,,,0.0,1026.0,240.0,0.0,0.0,1025.0,1.0,0.4690077304840088
-3565,3565,QSAR-TID-10304,1,62,active,Sparse_ARFF,,,,0.0,1026.0,992.0,0.0,0.0,1025.0,1.0,0.6349656581878662
-3566,3566,QSAR-TID-12753,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.3810000419616699
-3567,3567,QSAR-TID-10044,1,62,active,Sparse_ARFF,,,,0.0,1026.0,939.0,0.0,0.0,1025.0,1.0,0.41899728775024414
-3568,3568,QSAR-TID-30018,1,62,active,Sparse_ARFF,,,,0.0,1026.0,903.0,0.0,0.0,1025.0,1.0,0.43900251388549805
-3569,3569,QSAR-TID-112,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.5289981365203857
-3570,3570,QSAR-TID-12971,1,62,active,Sparse_ARFF,,,,0.0,1026.0,188.0,0.0,0.0,1025.0,1.0,0.37200045585632324
-3571,3571,QSAR-TID-10919,1,62,active,Sparse_ARFF,,,,0.0,1026.0,386.0,0.0,0.0,1025.0,1.0,0.3950004577636719
-3572,3572,QSAR-TID-10960,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.42699718475341797
-3573,3573,QSAR-TID-20067,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.26300501823425293
-3574,3574,QSAR-TID-10958,1,62,active,Sparse_ARFF,,,,0.0,1026.0,107.0,0.0,0.0,1025.0,1.0,0.3290548324584961
-3575,3575,QSAR-TID-100579,1,62,active,Sparse_ARFF,,,,0.0,1026.0,564.0,0.0,0.0,1025.0,1.0,0.5790004730224609
-3576,3576,QSAR-TID-100895,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.5194506645202637
-3577,3577,QSAR-TID-103446,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.47513628005981445
-3578,3578,QSAR-TID-262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,429.0,0.0,0.0,1025.0,1.0,0.44196557998657227
-3579,3579,QSAR-TID-12295,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.5312032699584961
-3580,3580,QSAR-TID-103140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.46096348762512207
-3581,3581,QSAR-TID-10580,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1926.0,0.0,0.0,1025.0,1.0,0.47100329399108887
-3582,3582,QSAR-TID-10004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.30101919174194336
-3583,3583,QSAR-TID-10477,1,62,active,Sparse_ARFF,,,,0.0,1026.0,682.0,0.0,0.0,1025.0,1.0,0.44751834869384766
-3584,3584,QSAR-TID-12665,1,62,active,Sparse_ARFF,,,,0.0,1026.0,899.0,0.0,0.0,1025.0,1.0,0.4210689067840576
-3585,3585,QSAR-TID-11534,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1703.0,0.0,0.0,1025.0,1.0,0.5479707717895508
-3586,3586,QSAR-TID-104390,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.4434022903442383
-3587,3587,QSAR-TID-101183,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.5020983219146729
-3588,3588,QSAR-TID-11873,1,62,active,Sparse_ARFF,,,,0.0,1026.0,115.0,0.0,0.0,1025.0,1.0,0.5903513431549072
-3589,3589,QSAR-TID-100186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,360.0,0.0,0.0,1025.0,1.0,0.6803371906280518
-3590,3590,QSAR-TID-17115,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.410538911819458
-3591,3591,QSAR-TID-101204,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.5643079280853271
-3592,3592,QSAR-TID-12077,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.4619905948638916
-3593,3593,QSAR-TID-11113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,94.0,0.0,0.0,1025.0,1.0,0.4703853130340576
-3594,3594,QSAR-TID-11056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.45299243927001953
-3595,3595,QSAR-TID-102576,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.40202951431274414
-3596,3596,QSAR-TID-10438,1,62,active,Sparse_ARFF,,,,0.0,1026.0,565.0,0.0,0.0,1025.0,1.0,0.6160049438476562
-3597,3597,QSAR-TID-143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,393.0,0.0,0.0,1025.0,1.0,0.5300025939941406
-3598,3598,QSAR-TID-10439,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.48397207260131836
-3599,3599,QSAR-TID-101349,1,62,active,Sparse_ARFF,,,,0.0,1026.0,652.0,0.0,0.0,1025.0,1.0,0.6349871158599854
-3600,3600,QSAR-TID-10956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.44901061058044434
-3601,3601,QSAR-TID-13000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3459.0,0.0,0.0,1025.0,1.0,0.6719892024993896
-3602,3602,QSAR-TID-100853,1,62,active,Sparse_ARFF,,,,0.0,1026.0,76.0,0.0,0.0,1025.0,1.0,0.47500085830688477
-3603,3603,QSAR-TID-10614,1,62,active,Sparse_ARFF,,,,0.0,1026.0,246.0,0.0,0.0,1025.0,1.0,0.3390011787414551
-3604,3604,QSAR-TID-8,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1739.0,0.0,0.0,1025.0,1.0,0.41202664375305176
-3605,3605,QSAR-TID-10527,1,62,active,Sparse_ARFF,,,,0.0,1026.0,294.0,0.0,0.0,1025.0,1.0,0.39296817779541016
-3606,3606,QSAR-TID-38,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.3480339050292969
-3607,3607,QSAR-TID-10300,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.24998736381530762
-3608,3608,QSAR-TID-11141,1,62,active,Sparse_ARFF,,,,0.0,1026.0,38.0,0.0,0.0,1025.0,1.0,0.40097737312316895
-3609,3609,QSAR-TID-11019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,592.0,0.0,0.0,1025.0,1.0,0.49503040313720703
-3610,3610,QSAR-TID-102678,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.39996790885925293
-3611,3611,QSAR-TID-124,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1745.0,0.0,0.0,1025.0,1.0,0.5690057277679443
-3612,3612,QSAR-TID-11409,1,62,active,Sparse_ARFF,,,,0.0,1026.0,927.0,0.0,0.0,1025.0,1.0,0.6029946804046631
-3613,3613,QSAR-TID-10505,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3522951602935791
-3614,3614,QSAR-TID-20166,1,62,active,Sparse_ARFF,,,,0.0,1026.0,561.0,0.0,0.0,1025.0,1.0,0.46570825576782227
-3615,3615,QSAR-TID-12832,1,62,active,Sparse_ARFF,,,,0.0,1026.0,478.0,0.0,0.0,1025.0,1.0,0.4670426845550537
-3616,3616,QSAR-TID-105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1251.0,0.0,0.0,1025.0,1.0,0.4849531650543213
-3617,3617,QSAR-TID-103095,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.41899752616882324
-3618,3618,QSAR-TID-12512,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2866.0,0.0,0.0,1025.0,1.0,0.4990229606628418
-3619,3619,QSAR-TID-11006,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.5489804744720459
-3620,3620,QSAR-TID-102840,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.33699750900268555
-3621,3621,QSAR-TID-30016,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.3885531425476074
-3622,3622,QSAR-TID-100872,1,62,active,Sparse_ARFF,,,,0.0,1026.0,533.0,0.0,0.0,1025.0,1.0,0.44399404525756836
-3623,3623,QSAR-TID-101433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.42302942276000977
-3624,3624,QSAR-TID-101220,1,62,active,Sparse_ARFF,,,,0.0,1026.0,709.0,0.0,0.0,1025.0,1.0,0.3970057964324951
-3625,3625,QSAR-TID-11000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.28800129890441895
-3626,3626,QSAR-TID-103437,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.40099525451660156
-3627,3627,QSAR-TID-100942,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.2729685306549072
-3628,3628,QSAR-TID-12294,1,62,active,Sparse_ARFF,,,,0.0,1026.0,290.0,0.0,0.0,1025.0,1.0,0.3550291061401367
-3629,3629,QSAR-TID-100917,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.39700818061828613
-3630,3630,QSAR-TID-101281,1,62,active,Sparse_ARFF,,,,0.0,1026.0,670.0,0.0,0.0,1025.0,1.0,0.3869595527648926
-3631,3631,QSAR-TID-12719,1,62,active,Sparse_ARFF,,,,0.0,1026.0,54.0,0.0,0.0,1025.0,1.0,0.3050227165222168
-3632,3632,QSAR-TID-10928,1,62,active,Sparse_ARFF,,,,0.0,1026.0,125.0,0.0,0.0,1025.0,1.0,0.4239780902862549
-3633,3633,QSAR-TID-100452,1,62,active,Sparse_ARFF,,,,0.0,1026.0,46.0,0.0,0.0,1025.0,1.0,0.32103419303894043
-3634,3634,QSAR-TID-105654,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2709689140319824
-3635,3635,QSAR-TID-102473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.4700343608856201
-3636,3636,QSAR-TID-101036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.28099727630615234
-3637,3637,QSAR-TID-11617,1,62,active,Sparse_ARFF,,,,0.0,1026.0,309.0,0.0,0.0,1025.0,1.0,0.48296666145324707
-3638,3638,QSAR-TID-12037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.4040260314941406
-3639,3639,QSAR-TID-12790,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.36097121238708496
-3640,3640,QSAR-TID-11260,1,62,active,Sparse_ARFF,,,,0.0,1026.0,149.0,0.0,0.0,1025.0,1.0,0.36103296279907227
-3641,3641,QSAR-TID-11606,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2592604160308838
-3642,3642,QSAR-TID-10586,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.31400442123413086
-3643,3643,QSAR-TID-102578,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2649972438812256
-3644,3644,QSAR-TID-101610,1,62,active,Sparse_ARFF,,,,0.0,1026.0,145.0,0.0,0.0,1025.0,1.0,0.34999918937683105
-3645,3645,QSAR-TID-102391,1,62,active,Sparse_ARFF,,,,0.0,1026.0,516.0,0.0,0.0,1025.0,1.0,0.46203017234802246
-3646,3646,QSAR-TID-12202,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.32400989532470703
-3647,3647,QSAR-TID-19639,1,62,active,Sparse_ARFF,,,,0.0,1026.0,958.0,0.0,0.0,1025.0,1.0,0.4449903964996338
-3648,3648,QSAR-TID-102580,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.26798009872436523
-3649,3649,QSAR-TID-30025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,813.0,0.0,0.0,1025.0,1.0,0.48054051399230957
-3650,3650,QSAR-TID-103726,1,62,active,Sparse_ARFF,,,,0.0,1026.0,348.0,0.0,0.0,1025.0,1.0,0.3539869785308838
-3651,3651,QSAR-TID-11522,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1585.0,0.0,0.0,1025.0,1.0,0.514979362487793
-3652,3652,QSAR-TID-100415,1,62,active,Sparse_ARFF,,,,0.0,1026.0,804.0,0.0,0.0,1025.0,1.0,0.5050346851348877
-3653,3653,QSAR-TID-17052,1,62,active,Sparse_ARFF,,,,0.0,1026.0,55.0,0.0,0.0,1025.0,1.0,0.31400585174560547
-3654,3654,QSAR-TID-100833,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.39096570014953613
-3655,3655,QSAR-TID-11720,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1027.0,0.0,0.0,1025.0,1.0,0.4649970531463623
-3656,3656,QSAR-TID-99,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.30706357955932617
-3657,3657,QSAR-TID-12968,1,62,active,Sparse_ARFF,,,,0.0,1026.0,668.0,0.0,0.0,1025.0,1.0,0.3589944839477539
-3658,3658,QSAR-TID-57,1,62,active,Sparse_ARFF,,,,0.0,1026.0,269.0,0.0,0.0,1025.0,1.0,0.3859739303588867
-3659,3659,QSAR-TID-10403,1,62,active,Sparse_ARFF,,,,0.0,1026.0,935.0,0.0,0.0,1025.0,1.0,0.5010092258453369
-3660,3660,QSAR-TID-101607,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.35300111770629883
-3661,3661,QSAR-TID-20137,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.45463132858276367
-3662,3662,QSAR-TID-101179,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.40300536155700684
-3663,3663,QSAR-TID-17033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,270.0,0.0,0.0,1025.0,1.0,0.4219934940338135
-3664,3664,QSAR-TID-12013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,200.0,0.0,0.0,1025.0,1.0,0.3856227397918701
-3665,3665,QSAR-TID-19607,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.32596778869628906
-3666,3666,QSAR-TID-10971,1,62,active,Sparse_ARFF,,,,0.0,1026.0,108.0,0.0,0.0,1025.0,1.0,0.45400452613830566
-3667,3667,QSAR-TID-10964,1,62,active,Sparse_ARFF,,,,0.0,1026.0,165.0,0.0,0.0,1025.0,1.0,0.37200307846069336
-3668,3668,QSAR-TID-100071,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.35213303565979004
-3669,3669,QSAR-TID-19624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.36803388595581055
-3670,3670,QSAR-TID-19907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.24199581146240234
-3671,3671,QSAR-TID-30042,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.44496607780456543
-3672,3672,QSAR-TID-101404,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.40103673934936523
-3673,3673,QSAR-TID-12861,1,62,active,Sparse_ARFF,,,,0.0,1026.0,235.0,0.0,0.0,1025.0,1.0,0.33157801628112793
-3674,3674,QSAR-TID-12635,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.29297304153442383
-3675,3675,QSAR-TID-10908,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.30199742317199707
-3676,3676,QSAR-TID-214,1,62,active,Sparse_ARFF,,,,0.0,1026.0,770.0,0.0,0.0,1025.0,1.0,0.438035249710083
-3677,3677,QSAR-TID-11635,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1003.0,0.0,0.0,1025.0,1.0,0.43799853324890137
-3678,3678,QSAR-TID-12469,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.3405802249908447
-3679,3679,QSAR-TID-101317,1,62,active,Sparse_ARFF,,,,0.0,1026.0,99.0,0.0,0.0,1025.0,1.0,0.3740367889404297
-3680,3680,QSAR-TID-30006,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3639957904815674
-3681,3681,QSAR-TID-12299,1,62,active,Sparse_ARFF,,,,0.0,1026.0,45.0,0.0,0.0,1025.0,1.0,0.3350105285644531
-3682,3682,QSAR-TID-100790,1,62,active,Sparse_ARFF,,,,0.0,1026.0,170.0,0.0,0.0,1025.0,1.0,0.4100043773651123
-3683,3683,QSAR-TID-18033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,137.0,0.0,0.0,1025.0,1.0,0.45499348640441895
-3684,3684,QSAR-TID-10651,1,62,active,Sparse_ARFF,,,,0.0,1026.0,235.0,0.0,0.0,1025.0,1.0,0.33667492866516113
-3685,3685,QSAR-TID-12214,1,62,active,Sparse_ARFF,,,,0.0,1026.0,330.0,0.0,0.0,1025.0,1.0,0.38500070571899414
-3686,3686,QSAR-TID-10014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,979.0,0.0,0.0,1025.0,1.0,0.4991767406463623
-3687,3687,QSAR-TID-11281,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.3090076446533203
-3688,3688,QSAR-TID-11848,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.35695958137512207
-3689,3689,QSAR-TID-10549,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.4489271640777588
-3690,3690,QSAR-TID-10008,1,62,active,Sparse_ARFF,,,,0.0,1026.0,189.0,0.0,0.0,1025.0,1.0,0.44496750831604004
-3691,3691,QSAR-TID-10984,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.2579953670501709
-3692,3692,QSAR-TID-12679,1,62,active,Sparse_ARFF,,,,0.0,1026.0,337.0,0.0,0.0,1025.0,1.0,0.4131460189819336
-3693,3693,QSAR-TID-11192,1,62,active,Sparse_ARFF,,,,0.0,1026.0,380.0,0.0,0.0,1025.0,1.0,0.41731786727905273
-3694,3694,QSAR-TID-10466,1,62,active,Sparse_ARFF,,,,0.0,1026.0,78.0,0.0,0.0,1025.0,1.0,0.47647929191589355
-3695,3695,QSAR-TID-30005,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.45326852798461914
-3696,3696,QSAR-TID-11842,1,62,active,Sparse_ARFF,,,,0.0,1026.0,919.0,0.0,0.0,1025.0,1.0,0.43285584449768066
-3697,3697,QSAR-TID-11629,1,62,active,Sparse_ARFF,,,,0.0,1026.0,688.0,0.0,0.0,1025.0,1.0,0.42898106575012207
-3698,3698,QSAR-TID-12793,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.3783233165740967
-3699,3699,QSAR-TID-12947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1287.0,0.0,0.0,1025.0,1.0,0.4797818660736084
-3700,3700,QSAR-TID-10407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.3913426399230957
-3701,3701,QSAR-TID-14070,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2872185707092285
-3702,3702,QSAR-TID-101130,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.38558387756347656
-3703,3703,QSAR-TID-10441,1,62,active,Sparse_ARFF,,,,0.0,1026.0,304.0,0.0,0.0,1025.0,1.0,0.41918110847473145
-3704,3704,QSAR-TID-12720,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.23496580123901367
-3705,3705,QSAR-TID-12449,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.40006041526794434
-3706,3706,QSAR-TID-12956,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.30300045013427734
-3707,3707,QSAR-TID-25,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1897.0,0.0,0.0,1025.0,1.0,0.5354442596435547
-3708,3708,QSAR-TID-12919,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4168069362640381
-3709,3709,QSAR-TID-102815,1,62,active,Sparse_ARFF,,,,0.0,1026.0,34.0,0.0,0.0,1025.0,1.0,0.40020155906677246
-3710,3710,QSAR-TID-11188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.3199944496154785
-3711,3711,QSAR-TID-10331,1,62,active,Sparse_ARFF,,,,0.0,1026.0,303.0,0.0,0.0,1025.0,1.0,0.3619990348815918
-3712,3712,QSAR-TID-64,1,62,active,Sparse_ARFF,,,,0.0,1026.0,358.0,0.0,0.0,1025.0,1.0,0.3789999485015869
-3713,3713,QSAR-TID-11752,1,62,active,Sparse_ARFF,,,,0.0,1026.0,985.0,0.0,0.0,1025.0,1.0,0.42003631591796875
-3714,3714,QSAR-TID-11119,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.3300051689147949
-3715,3715,QSAR-TID-102927,1,62,active,Sparse_ARFF,,,,0.0,1026.0,212.0,0.0,0.0,1025.0,1.0,0.4335441589355469
-3716,3716,QSAR-TID-30033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.38700318336486816
-3717,3717,QSAR-TID-103433,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.38385701179504395
-3718,3718,QSAR-TID-30029,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3614354133605957
-3719,3719,QSAR-TID-100052,1,62,active,Sparse_ARFF,,,,0.0,1026.0,26.0,0.0,0.0,1025.0,1.0,0.3040478229522705
-3720,3720,QSAR-TID-17074,1,62,active,Sparse_ARFF,,,,0.0,1026.0,671.0,0.0,0.0,1025.0,1.0,0.4379725456237793
-3721,3721,QSAR-TID-11061,1,62,active,Sparse_ARFF,,,,0.0,1026.0,291.0,0.0,0.0,1025.0,1.0,0.6249926090240479
-3722,3722,QSAR-TID-30003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,778.0,0.0,0.0,1025.0,1.0,0.5440318584442139
-3723,3723,QSAR-TID-10747,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.3439667224884033
-3724,3724,QSAR-TID-10679,1,62,active,Sparse_ARFF,,,,0.0,1026.0,262.0,0.0,0.0,1025.0,1.0,0.42400264739990234
-3725,3725,QSAR-TID-10674,1,62,active,Sparse_ARFF,,,,0.0,1026.0,511.0,0.0,0.0,1025.0,1.0,0.42099499702453613
-3726,3726,QSAR-TID-30046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.40103840827941895
-3727,3727,QSAR-TID-12076,1,62,active,Sparse_ARFF,,,,0.0,1026.0,512.0,0.0,0.0,1025.0,1.0,0.39490246772766113
-3728,3728,QSAR-TID-11337,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.31397485733032227
-3729,3729,QSAR-TID-17063,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.2768070697784424
-3730,3730,QSAR-TID-11408,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1211.0,0.0,0.0,1025.0,1.0,0.3817267417907715
-3731,3731,QSAR-TID-43,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1577.0,0.0,0.0,1025.0,1.0,0.40472412109375
-3732,3732,QSAR-TID-101405,1,62,active,Sparse_ARFF,,,,0.0,1026.0,117.0,0.0,0.0,1025.0,1.0,0.4056873321533203
-3733,3733,QSAR-TID-11622,1,62,active,Sparse_ARFF,,,,0.0,1026.0,792.0,0.0,0.0,1025.0,1.0,0.3780035972595215
-3734,3734,QSAR-TID-11569,1,62,active,Sparse_ARFF,,,,0.0,1026.0,120.0,0.0,0.0,1025.0,1.0,0.35495829582214355
-3735,3735,QSAR-TID-11680,1,62,active,Sparse_ARFF,,,,0.0,1026.0,395.0,0.0,0.0,1025.0,1.0,0.42602038383483887
-3736,3736,QSAR-TID-20129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.26914024353027344
-3737,3737,QSAR-TID-101199,1,62,active,Sparse_ARFF,,,,0.0,1026.0,341.0,0.0,0.0,1025.0,1.0,0.3330380916595459
-3738,3738,QSAR-TID-17089,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2659928798675537
-3739,3739,QSAR-TID-12017,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.28899216651916504
-3740,3740,QSAR-TID-18025,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.3039722442626953
-3741,3741,QSAR-TID-11149,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1521.0,0.0,0.0,1025.0,1.0,0.469010591506958
-3742,3742,QSAR-TID-30019,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.37598371505737305
-3743,3743,QSAR-TID-10078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,55.0,0.0,0.0,1025.0,1.0,0.24103641510009766
-3744,3744,QSAR-TID-104430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,41.0,0.0,0.0,1025.0,1.0,0.26800036430358887
-3745,3745,QSAR-TID-10684,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.357990026473999
-3746,3746,QSAR-TID-10222,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.30899858474731445
-3747,3747,QSAR-TID-12226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,665.0,0.0,0.0,1025.0,1.0,0.3809952735900879
-3748,3748,QSAR-TID-12831,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.2890005111694336
-3749,3749,QSAR-TID-10529,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2578.0,0.0,0.0,1025.0,1.0,0.40602946281433105
-3750,3750,QSAR-TID-119,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.2554621696472168
-3751,3751,QSAR-TID-100613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,51.0,0.0,0.0,1025.0,1.0,0.2710394859313965
-3752,3752,QSAR-TID-248,1,62,active,Sparse_ARFF,,,,0.0,1026.0,923.0,0.0,0.0,1025.0,1.0,0.4320065975189209
-3753,3753,QSAR-TID-10436,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.336961030960083
-3754,3754,QSAR-TID-11615,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.2629995346069336
-3755,3755,QSAR-TID-10542,1,62,active,Sparse_ARFF,,,,0.0,1026.0,351.0,0.0,0.0,1025.0,1.0,0.34903573989868164
-3756,3756,QSAR-TID-102399,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3824291229248047
-3757,3757,QSAR-TID-11639,1,62,active,Sparse_ARFF,,,,0.0,1026.0,201.0,0.0,0.0,1025.0,1.0,0.40058374404907227
-3758,3758,QSAR-TID-20128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,100.0,0.0,0.0,1025.0,1.0,0.3589751720428467
-3759,3759,QSAR-TID-69,1,62,active,Sparse_ARFF,,,,0.0,1026.0,569.0,0.0,0.0,1025.0,1.0,0.40702223777770996
-3760,3760,QSAR-TID-117,1,62,active,Sparse_ARFF,,,,0.0,1026.0,818.0,0.0,0.0,1025.0,1.0,0.382007360458374
-3761,3761,QSAR-TID-11536,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1306.0,0.0,0.0,1025.0,1.0,0.39110231399536133
-3762,3762,QSAR-TID-10889,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2799668312072754
-3763,3763,QSAR-TID-10677,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.29061269760131836
-3764,3764,QSAR-TID-30026,1,62,active,Sparse_ARFF,,,,0.0,1026.0,553.0,0.0,0.0,1025.0,1.0,0.36373019218444824
-3765,3765,QSAR-TID-30013,1,62,active,Sparse_ARFF,,,,0.0,1026.0,244.0,0.0,0.0,1025.0,1.0,0.38104772567749023
-3766,3766,QSAR-TID-11626,1,62,active,Sparse_ARFF,,,,0.0,1026.0,507.0,0.0,0.0,1025.0,1.0,0.3575255870819092
-3767,3767,QSAR-TID-11843,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.33600544929504395
-3768,3768,QSAR-TID-10323,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.29796719551086426
-3769,3769,QSAR-TID-10579,1,62,active,Sparse_ARFF,,,,0.0,1026.0,388.0,0.0,0.0,1025.0,1.0,0.4137849807739258
-3770,3770,QSAR-TID-103088,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2530522346496582
-3771,3771,QSAR-TID-100098,1,62,active,Sparse_ARFF,,,,0.0,1026.0,472.0,0.0,0.0,1025.0,1.0,0.39298319816589355
-3772,3772,QSAR-TID-12825,1,62,active,Sparse_ARFF,,,,0.0,1026.0,847.0,0.0,0.0,1025.0,1.0,0.39691781997680664
-3773,3773,QSAR-TID-10613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,247.0,0.0,0.0,1025.0,1.0,0.3210303783416748
-3774,3774,QSAR-TID-11947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.2560269832611084
-3775,3775,QSAR-TID-88,1,62,active,Sparse_ARFF,,,,0.0,1026.0,895.0,0.0,0.0,1025.0,1.0,0.4356529712677002
-3776,3776,QSAR-TID-10131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1979.0,0.0,0.0,1025.0,1.0,0.4510378837585449
-3777,3777,QSAR-TID-10235,1,62,active,Sparse_ARFF,,,,0.0,1026.0,93.0,0.0,0.0,1025.0,1.0,0.3929629325866699
-3778,3778,QSAR-TID-11336,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1199.0,0.0,0.0,1025.0,1.0,0.45183515548706055
-3779,3779,QSAR-TID-10927,1,62,active,Sparse_ARFF,,,,0.0,1026.0,446.0,0.0,0.0,1025.0,1.0,0.3822057247161865
-3780,3780,QSAR-TID-11926,1,62,active,Sparse_ARFF,,,,0.0,1026.0,756.0,0.0,0.0,1025.0,1.0,0.39664220809936523
-3781,3781,QSAR-TID-20084,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.24703550338745117
-3782,3782,QSAR-TID-100429,1,62,active,Sparse_ARFF,,,,0.0,1026.0,45.0,0.0,0.0,1025.0,1.0,0.3207859992980957
-3783,3783,QSAR-TID-128,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1386.0,0.0,0.0,1025.0,1.0,0.39722633361816406
-3784,3784,QSAR-TID-10711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,66.0,0.0,0.0,1025.0,1.0,0.34200167655944824
-3785,3785,QSAR-TID-100852,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.44596362113952637
-3786,3786,QSAR-TID-100633,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.3524479866027832
-3787,3787,QSAR-TID-11046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,392.0,0.0,0.0,1025.0,1.0,0.3919985294342041
-3788,3788,QSAR-TID-100126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,747.0,0.0,0.0,1025.0,1.0,0.43288469314575195
-3789,3789,QSAR-TID-13004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,692.0,0.0,0.0,1025.0,1.0,0.3591189384460449
-3790,3790,QSAR-TID-17080,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1135.0,0.0,0.0,1025.0,1.0,0.4430878162384033
-3791,3791,QSAR-TID-10564,1,62,active,Sparse_ARFF,,,,0.0,1026.0,32.0,0.0,0.0,1025.0,1.0,0.29703330993652344
-3792,3792,QSAR-TID-11638,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1180.0,0.0,0.0,1025.0,1.0,0.41096949577331543
-3793,3793,QSAR-TID-12,1,62,active,Sparse_ARFF,,,,0.0,1026.0,927.0,0.0,0.0,1025.0,1.0,0.3957233428955078
-3794,3794,QSAR-TID-10778,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3749995231628418
-3795,3795,QSAR-TID-14073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2845003604888916
-3797,3797,QSAR-TID-11589,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.312960147857666
-3798,3798,QSAR-TID-10486,1,62,active,Sparse_ARFF,,,,0.0,1026.0,57.0,0.0,0.0,1025.0,1.0,0.2850034236907959
-3799,3799,QSAR-TID-10939,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.41294074058532715
-3800,3800,QSAR-TID-104261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.29498863220214844
-3801,3801,QSAR-TID-100845,1,62,active,Sparse_ARFF,,,,0.0,1026.0,836.0,0.0,0.0,1025.0,1.0,0.38699960708618164
-3802,3802,QSAR-TID-12789,1,62,active,Sparse_ARFF,,,,0.0,1026.0,309.0,0.0,0.0,1025.0,1.0,0.3540370464324951
-3803,3803,QSAR-TID-103435,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3329935073852539
-3804,3804,QSAR-TID-11530,1,62,active,Sparse_ARFF,,,,0.0,1026.0,49.0,0.0,0.0,1025.0,1.0,0.29012608528137207
-3805,3805,QSAR-TID-11685,1,62,active,Sparse_ARFF,,,,0.0,1026.0,154.0,0.0,0.0,1025.0,1.0,0.34668660163879395
-3806,3806,QSAR-TID-101477,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2659611701965332
-3807,3807,QSAR-TID-101465,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.37103700637817383
-3808,3808,QSAR-TID-101417,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.26462268829345703
-3809,3809,QSAR-TID-11082,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1695.0,0.0,0.0,1025.0,1.0,0.4369823932647705
-3810,3810,QSAR-TID-12862,1,62,active,Sparse_ARFF,,,,0.0,1026.0,395.0,0.0,0.0,1025.0,1.0,0.447037935256958
-3811,3811,QSAR-TID-10885,1,62,active,Sparse_ARFF,,,,0.0,1026.0,937.0,0.0,0.0,1025.0,1.0,0.39196157455444336
-3812,3812,QSAR-TID-50,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1414.0,0.0,0.0,1025.0,1.0,0.42799854278564453
-3813,3813,QSAR-TID-100412,1,62,active,Sparse_ARFF,,,,0.0,1026.0,906.0,0.0,0.0,1025.0,1.0,0.3960306644439697
-3814,3814,QSAR-TID-12592,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2615.0,0.0,0.0,1025.0,1.0,0.4280233383178711
-3816,3816,QSAR-TID-12567,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.24400591850280762
-3817,3817,QSAR-TID-116,1,62,active,Sparse_ARFF,,,,0.0,1026.0,794.0,0.0,0.0,1025.0,1.0,0.39299821853637695
-3818,3818,QSAR-TID-17049,1,62,active,Sparse_ARFF,,,,0.0,1026.0,54.0,0.0,0.0,1025.0,1.0,0.26921510696411133
-3819,3819,QSAR-TID-11288,1,62,active,Sparse_ARFF,,,,0.0,1026.0,665.0,0.0,0.0,1025.0,1.0,0.3610343933105469
-3820,3820,QSAR-TID-36,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1731.0,0.0,0.0,1025.0,1.0,0.39882993698120117
-3821,3821,QSAR-TID-100856,1,62,active,Sparse_ARFF,,,,0.0,1026.0,471.0,0.0,0.0,1025.0,1.0,0.371016263961792
-3822,3822,QSAR-TID-100861,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.286099910736084
-3823,3823,QSAR-TID-103,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1194.0,0.0,0.0,1025.0,1.0,0.4059600830078125
-3824,3824,QSAR-TID-10034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,574.0,0.0,0.0,1025.0,1.0,0.3749964237213135
-3825,3825,QSAR-TID-101612,1,62,active,Sparse_ARFF,,,,0.0,1026.0,91.0,0.0,0.0,1025.0,1.0,0.34903812408447266
-3826,3826,QSAR-TID-100947,1,62,active,Sparse_ARFF,,,,0.0,1026.0,949.0,0.0,0.0,1025.0,1.0,0.40096163749694824
-3827,3827,QSAR-TID-101191,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.34299778938293457
-3828,3828,QSAR-TID-100288,1,62,active,Sparse_ARFF,,,,0.0,1026.0,33.0,0.0,0.0,1025.0,1.0,0.2476050853729248
-3829,3829,QSAR-TID-12566,1,62,active,Sparse_ARFF,,,,0.0,1026.0,298.0,0.0,0.0,1025.0,1.0,0.3490183353424072
-3830,3830,QSAR-TID-101186,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.3060111999511719
-3831,3831,QSAR-TID-101048,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3798239231109619
-3832,3832,QSAR-TID-102667,1,62,active,Sparse_ARFF,,,,0.0,1026.0,106.0,0.0,0.0,1025.0,1.0,0.36884403228759766
-3833,3833,QSAR-TID-12898,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.28263330459594727
-3834,3834,QSAR-TID-12780,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.35698580741882324
-3835,3835,QSAR-TID-10003,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1187.0,0.0,0.0,1025.0,1.0,0.38100314140319824
-3836,3836,QSAR-TID-142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,300.0,0.0,0.0,1025.0,1.0,0.4070303440093994
-3837,3837,QSAR-TID-12023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,283.0,0.0,0.0,1025.0,1.0,0.35472750663757324
-3838,3838,QSAR-TID-10216,1,62,active,Sparse_ARFF,,,,0.0,1026.0,864.0,0.0,0.0,1025.0,1.0,0.41949987411499023
-3839,3839,QSAR-TID-11089,1,62,active,Sparse_ARFF,,,,0.0,1026.0,28.0,0.0,0.0,1025.0,1.0,0.29399585723876953
-3840,3840,QSAR-TID-10959,1,62,active,Sparse_ARFF,,,,0.0,1026.0,90.0,0.0,0.0,1025.0,1.0,0.30503392219543457
-3841,3841,QSAR-TID-11678,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2577.0,0.0,0.0,1025.0,1.0,0.388962984085083
-3842,3842,QSAR-TID-12413,1,62,active,Sparse_ARFF,,,,0.0,1026.0,60.0,0.0,0.0,1025.0,1.0,0.28995347023010254
-3843,3843,QSAR-TID-10811,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1480.0,0.0,0.0,1025.0,1.0,0.4328286647796631
-3844,3844,QSAR-TID-12347,1,62,active,Sparse_ARFF,,,,0.0,1026.0,16.0,0.0,0.0,1025.0,1.0,0.24223756790161133
-3845,3845,QSAR-TID-30034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,162.0,0.0,0.0,1025.0,1.0,0.3471815586090088
-3846,3846,QSAR-TID-103780,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.25397777557373047
-3847,3847,QSAR-TID-11736,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1649.0,0.0,0.0,1025.0,1.0,0.3769698143005371
-3848,3848,QSAR-TID-11929,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2547931671142578
-3849,3849,QSAR-TID-11407,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1488.0,0.0,0.0,1025.0,1.0,0.37014293670654297
-3850,3850,QSAR-TID-10140,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2615.0,0.0,0.0,1025.0,1.0,0.4250800609588623
-3851,3851,QSAR-TID-10809,1,62,active,Sparse_ARFF,,,,0.0,1026.0,573.0,0.0,0.0,1025.0,1.0,0.3794214725494385
-3852,3852,QSAR-TID-101131,1,62,active,Sparse_ARFF,,,,0.0,1026.0,929.0,0.0,0.0,1025.0,1.0,0.4029672145843506
-3853,3853,QSAR-TID-10462,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.28124547004699707
-3854,3854,QSAR-TID-11262,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.26216959953308105
-3855,3855,QSAR-TID-237,1,62,active,Sparse_ARFF,,,,0.0,1026.0,510.0,0.0,0.0,1025.0,1.0,0.3868834972381592
-3856,3856,QSAR-TID-30040,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.4150385856628418
-3857,3857,QSAR-TID-10617,1,62,active,Sparse_ARFF,,,,0.0,1026.0,226.0,0.0,0.0,1025.0,1.0,0.3409607410430908
-3858,3858,QSAR-TID-101078,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36299777030944824
-3859,3859,QSAR-TID-125,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1425.0,0.0,0.0,1025.0,1.0,0.42203640937805176
-3860,3860,QSAR-TID-10283,1,62,active,Sparse_ARFF,,,,0.0,1026.0,17.0,0.0,0.0,1025.0,1.0,0.23151874542236328
-3861,3861,QSAR-TID-100850,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.41747164726257324
-3862,3862,QSAR-TID-10624,1,62,active,Sparse_ARFF,,,,0.0,1026.0,466.0,0.0,0.0,1025.0,1.0,0.7020046710968018
-3863,3863,QSAR-TID-238,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1358.0,0.0,0.0,1025.0,1.0,0.46003031730651855
-3864,3864,QSAR-TID-11280,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1584.0,0.0,0.0,1025.0,1.0,0.4041934013366699
-3865,3865,QSAR-TID-100287,1,62,active,Sparse_ARFF,,,,0.0,1026.0,21.0,0.0,0.0,1025.0,1.0,0.2730119228363037
-3866,3866,QSAR-TID-101553,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.37671446800231934
-3867,3867,QSAR-TID-11562,1,62,active,Sparse_ARFF,,,,0.0,1026.0,492.0,0.0,0.0,1025.0,1.0,0.37700462341308594
-3868,3868,QSAR-TID-30031,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.37703633308410645
-3869,3869,QSAR-TID-12806,1,62,active,Sparse_ARFF,,,,0.0,1026.0,301.0,0.0,0.0,1025.0,1.0,0.4079766273498535
-3870,3870,QSAR-TID-10983,1,62,active,Sparse_ARFF,,,,0.0,1026.0,119.0,0.0,0.0,1025.0,1.0,0.3840155601501465
-3871,3871,QSAR-TID-100931,1,62,active,Sparse_ARFF,,,,0.0,1026.0,110.0,0.0,0.0,1025.0,1.0,0.4126393795013428
-3872,3872,QSAR-TID-107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2778.0,0.0,0.0,1025.0,1.0,0.5240321159362793
-3873,3873,QSAR-TID-11107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.32271718978881836
-3874,3874,QSAR-TID-11290,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1171.0,0.0,0.0,1025.0,1.0,0.41700077056884766
-3875,3875,QSAR-TID-188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2230.0,0.0,0.0,1025.0,1.0,0.40309572219848633
-3876,3876,QSAR-TID-103469,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.28396034240722656
-3877,3877,QSAR-TID-10626,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.2610008716583252
-3878,3878,QSAR-TID-10026,1,62,active,Sparse_ARFF,,,,0.0,1026.0,621.0,0.0,0.0,1025.0,1.0,0.3471639156341553
-3879,3879,QSAR-TID-11426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,307.0,0.0,0.0,1025.0,1.0,0.39099717140197754
-3880,3880,QSAR-TID-12114,1,62,active,Sparse_ARFF,,,,0.0,1026.0,131.0,0.0,0.0,1025.0,1.0,0.369002103805542
-3881,3881,QSAR-TID-10961,1,62,active,Sparse_ARFF,,,,0.0,1026.0,176.0,0.0,0.0,1025.0,1.0,0.366121768951416
-3882,3882,QSAR-TID-11298,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.29484105110168457
-3883,3883,QSAR-TID-11090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.3110830783843994
-3884,3884,QSAR-TID-103081,1,62,active,Sparse_ARFF,,,,0.0,1026.0,43.0,0.0,0.0,1025.0,1.0,0.2589986324310303
-3885,3885,QSAR-TID-12247,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1403.0,0.0,0.0,1025.0,1.0,0.4210178852081299
-3886,3886,QSAR-TID-95,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.3036460876464844
-3887,3887,QSAR-TID-12243,1,62,active,Sparse_ARFF,,,,0.0,1026.0,29.0,0.0,0.0,1025.0,1.0,0.2378218173980713
-3888,3888,QSAR-TID-11968,1,62,active,Sparse_ARFF,,,,0.0,1026.0,338.0,0.0,0.0,1025.0,1.0,0.34527015686035156
-3889,3889,QSAR-TID-12659,1,62,active,Sparse_ARFF,,,,0.0,1026.0,577.0,0.0,0.0,1025.0,1.0,0.3960080146789551
-3890,3890,QSAR-TID-103584,1,62,active,Sparse_ARFF,,,,0.0,1026.0,30.0,0.0,0.0,1025.0,1.0,0.2573707103729248
-3891,3891,QSAR-TID-10351,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.27237439155578613
-3892,3892,QSAR-TID-10453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.27399754524230957
-3893,3893,QSAR-TID-12627,1,62,active,Sparse_ARFF,,,,0.0,1026.0,612.0,0.0,0.0,1025.0,1.0,0.42711830139160156
-3894,3894,QSAR-TID-101613,1,62,active,Sparse_ARFF,,,,0.0,1026.0,96.0,0.0,0.0,1025.0,1.0,0.3570289611816406
-3895,3895,QSAR-TID-179,1,62,active,Sparse_ARFF,,,,0.0,1026.0,127.0,0.0,0.0,1025.0,1.0,0.32852840423583984
-3896,3896,QSAR-TID-100824,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5180685520172119
-3897,3897,QSAR-TID-10360,1,62,active,Sparse_ARFF,,,,0.0,1026.0,155.0,0.0,0.0,1025.0,1.0,0.5360012054443359
-3898,3898,QSAR-TID-101014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,448.0,0.0,0.0,1025.0,1.0,0.4389989376068115
-3899,3899,QSAR-TID-10618,1,62,active,Sparse_ARFF,,,,0.0,1026.0,134.0,0.0,0.0,1025.0,1.0,0.37202978134155273
-3900,3900,QSAR-TID-101333,1,62,active,Sparse_ARFF,,,,0.0,1026.0,168.0,0.0,0.0,1025.0,1.0,0.4049997329711914
-3901,3901,QSAR-TID-30023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,526.0,0.0,0.0,1025.0,1.0,0.6059703826904297
-3902,3902,QSAR-TID-10577,1,62,active,Sparse_ARFF,,,,0.0,1026.0,397.0,0.0,0.0,1025.0,1.0,0.45800161361694336
-3903,3903,QSAR-TID-103521,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2670321464538574
-3904,3904,QSAR-TID-30012,1,62,active,Sparse_ARFF,,,,0.0,1026.0,559.0,0.0,0.0,1025.0,1.0,0.3719649314880371
-3905,3905,QSAR-TID-100925,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.5080022811889648
-3906,3906,QSAR-TID-10741,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.32899904251098633
-3907,3907,QSAR-TID-10031,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3490307331085205
-3908,3908,QSAR-TID-101188,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.5299699306488037
-3909,3909,QSAR-TID-12263,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.2909994125366211
-3910,3910,QSAR-TID-10057,1,62,active,Sparse_ARFF,,,,0.0,1026.0,209.0,0.0,0.0,1025.0,1.0,0.5179996490478516
-3911,3911,QSAR-TID-11047,1,62,active,Sparse_ARFF,,,,0.0,1026.0,92.0,0.0,0.0,1025.0,1.0,0.5409996509552002
-3912,3912,QSAR-TID-30050,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4269998073577881
-3913,3913,QSAR-TID-102420,1,62,active,Sparse_ARFF,,,,0.0,1026.0,349.0,0.0,0.0,1025.0,1.0,0.4329967498779297
-3914,3914,QSAR-TID-100431,1,62,active,Sparse_ARFF,,,,0.0,1026.0,468.0,0.0,0.0,1025.0,1.0,0.40799975395202637
-3915,3915,QSAR-TID-11109,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1976.0,0.0,0.0,1025.0,1.0,0.4400303363800049
-3916,3916,QSAR-TID-30001,1,62,active,Sparse_ARFF,,,,0.0,1026.0,717.0,0.0,0.0,1025.0,1.0,0.41050052642822266
-3917,3917,QSAR-TID-30037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,711.0,0.0,0.0,1025.0,1.0,0.4285101890563965
-3918,3918,QSAR-TID-12396,1,62,active,Sparse_ARFF,,,,0.0,1026.0,93.0,0.0,0.0,1025.0,1.0,0.5013406276702881
-3919,3919,QSAR-TID-10785,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.37200355529785156
-3920,3920,QSAR-TID-11279,1,62,active,Sparse_ARFF,,,,0.0,1026.0,522.0,0.0,0.0,1025.0,1.0,0.39902734756469727
-3921,3921,QSAR-TID-17121,1,62,active,Sparse_ARFF,,,,0.0,1026.0,182.0,0.0,0.0,1025.0,1.0,0.3510010242462158
-3922,3922,QSAR-TID-100414,1,62,active,Sparse_ARFF,,,,0.0,1026.0,266.0,0.0,0.0,1025.0,1.0,0.3782978057861328
-3923,3923,QSAR-TID-20110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,59.0,0.0,0.0,1025.0,1.0,0.26907801628112793
-3924,3924,QSAR-TID-10297,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.36098480224609375
-3925,3925,QSAR-TID-101090,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.26700925827026367
-3926,3926,QSAR-TID-10627,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2408.0,0.0,0.0,1025.0,1.0,0.5489709377288818
-3927,3927,QSAR-TID-11567,1,62,active,Sparse_ARFF,,,,0.0,1026.0,76.0,0.0,0.0,1025.0,1.0,0.41100454330444336
-3928,3928,QSAR-TID-100417,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1239.0,0.0,0.0,1025.0,1.0,0.40590953826904297
-3929,3929,QSAR-TID-11010,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.35097241401672363
-3930,3930,QSAR-TID-11925,1,62,active,Sparse_ARFF,,,,0.0,1026.0,95.0,0.0,0.0,1025.0,1.0,0.411029577255249
-3931,3931,QSAR-TID-100855,1,62,active,Sparse_ARFF,,,,0.0,1026.0,811.0,0.0,0.0,1025.0,1.0,0.6220107078552246
-3932,3932,QSAR-TID-10187,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3710315227508545
-3933,3933,QSAR-TID-9,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5013.0,0.0,0.0,1025.0,1.0,0.47386884689331055
-3934,3934,QSAR-TID-10904,1,62,active,Sparse_ARFF,,,,0.0,1026.0,483.0,0.0,0.0,1025.0,1.0,0.3789958953857422
-3935,3935,QSAR-TID-11766,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.280001163482666
-3936,3936,QSAR-TID-11637,1,62,active,Sparse_ARFF,,,,0.0,1026.0,96.0,0.0,0.0,1025.0,1.0,0.42796874046325684
-3937,3937,QSAR-TID-11718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.398029088973999
-3938,3938,QSAR-TID-101030,1,62,active,Sparse_ARFF,,,,0.0,1026.0,103.0,0.0,0.0,1025.0,1.0,0.4309675693511963
-3939,3939,QSAR-TID-101056,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.4060027599334717
-3940,3940,QSAR-TID-11150,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.45900464057922363
-3941,3941,QSAR-TID-10578,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.4669930934906006
-3942,3942,QSAR-TID-101034,1,62,active,Sparse_ARFF,,,,0.0,1026.0,746.0,0.0,0.0,1025.0,1.0,0.6409971714019775
-3943,3943,QSAR-TID-102669,1,62,active,Sparse_ARFF,,,,0.0,1026.0,180.0,0.0,0.0,1025.0,1.0,0.3930082321166992
-3944,3944,QSAR-TID-35,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1597.0,0.0,0.0,1025.0,1.0,0.41675758361816406
-3945,3945,QSAR-TID-10495,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1829.0,0.0,0.0,1025.0,1.0,0.605905294418335
-3947,3947,QSAR-TID-10315,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1086.0,0.0,0.0,1025.0,1.0,0.4369995594024658
-3948,3948,QSAR-TID-100143,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.32460689544677734
-3949,3949,QSAR-TID-12471,1,62,active,Sparse_ARFF,,,,0.0,1026.0,406.0,0.0,0.0,1025.0,1.0,0.529998779296875
-3950,3950,QSAR-TID-261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,542.0,0.0,0.0,1025.0,1.0,0.43203282356262207
-3951,3951,QSAR-TID-10907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1443.0,0.0,0.0,1025.0,1.0,0.3817138671875
-3952,3952,QSAR-TID-17000,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.24000048637390137
-3953,3953,QSAR-TID-12965,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.2780585289001465
-3954,3954,QSAR-TID-12854,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3079946041107178
-3955,3955,QSAR-TID-12406,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.2686612606048584
-3956,3956,QSAR-TID-103800,1,62,active,Sparse_ARFF,,,,0.0,1026.0,91.0,0.0,0.0,1025.0,1.0,0.3119995594024658
-3957,3957,QSAR-TID-12038,1,62,active,Sparse_ARFF,,,,0.0,1026.0,143.0,0.0,0.0,1025.0,1.0,0.3702712059020996
-3958,3958,QSAR-TID-11806,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.2510058879852295
-3959,3959,QSAR-TID-10062,1,62,active,Sparse_ARFF,,,,0.0,1026.0,211.0,0.0,0.0,1025.0,1.0,0.316558837890625
-3960,3960,QSAR-TID-101408,1,62,active,Sparse_ARFF,,,,0.0,1026.0,583.0,0.0,0.0,1025.0,1.0,0.38405466079711914
-3961,3961,QSAR-TID-100435,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.24659037590026855
-3962,3962,QSAR-TID-30041,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.35001540184020996
-3963,3963,QSAR-TID-243,1,62,active,Sparse_ARFF,,,,0.0,1026.0,283.0,0.0,0.0,1025.0,1.0,0.36188602447509766
-3964,3964,QSAR-TID-10620,1,62,active,Sparse_ARFF,,,,0.0,1026.0,68.0,0.0,0.0,1025.0,1.0,0.43817925453186035
-3965,3965,QSAR-TID-12694,1,62,active,Sparse_ARFF,,,,0.0,1026.0,862.0,0.0,0.0,1025.0,1.0,0.6011531352996826
-3966,3966,QSAR-TID-10443,1,62,active,Sparse_ARFF,,,,0.0,1026.0,769.0,0.0,0.0,1025.0,1.0,0.4636056423187256
-3967,3967,QSAR-TID-114,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3490.0,0.0,0.0,1025.0,1.0,0.4520301818847656
-3968,3968,QSAR-TID-10197,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3058.0,0.0,0.0,1025.0,1.0,0.41696763038635254
-3969,3969,QSAR-TID-12568,1,62,active,Sparse_ARFF,,,,0.0,1026.0,340.0,0.0,0.0,1025.0,1.0,0.5861952304840088
-3970,3970,QSAR-TID-12135,1,62,active,Sparse_ARFF,,,,0.0,1026.0,48.0,0.0,0.0,1025.0,1.0,0.43114447593688965
-3971,3971,QSAR-TID-10796,1,62,active,Sparse_ARFF,,,,0.0,1026.0,536.0,0.0,0.0,1025.0,1.0,0.49187183380126953
-3972,3972,QSAR-TID-130,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3133.0,0.0,0.0,1025.0,1.0,0.7119965553283691
-3973,3973,QSAR-TID-11239,1,62,active,Sparse_ARFF,,,,0.0,1026.0,70.0,0.0,0.0,1025.0,1.0,0.37902379035949707
-3974,3974,QSAR-TID-100129,1,62,active,Sparse_ARFF,,,,0.0,1026.0,513.0,0.0,0.0,1025.0,1.0,0.5940022468566895
-3975,3975,QSAR-TID-11126,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2909979820251465
-3976,3976,QSAR-TID-184,1,62,active,Sparse_ARFF,,,,0.0,1026.0,224.0,0.0,0.0,1025.0,1.0,0.3390538692474365
-3977,3977,QSAR-TID-11094,1,62,active,Sparse_ARFF,,,,0.0,1026.0,192.0,0.0,0.0,1025.0,1.0,0.31299901008605957
-3978,3978,QSAR-TID-10472,1,62,active,Sparse_ARFF,,,,0.0,1026.0,455.0,0.0,0.0,1025.0,1.0,0.3880326747894287
-3979,3979,QSAR-TID-10692,1,62,active,Sparse_ARFF,,,,0.0,1026.0,388.0,0.0,0.0,1025.0,1.0,0.3829665184020996
-3980,3980,QSAR-TID-12742,1,62,active,Sparse_ARFF,,,,0.0,1026.0,737.0,0.0,0.0,1025.0,1.0,0.454465389251709
-3981,3981,QSAR-TID-10183,1,62,active,Sparse_ARFF,,,,0.0,1026.0,706.0,0.0,0.0,1025.0,1.0,0.4049997329711914
-3982,3982,QSAR-TID-12171,1,62,active,Sparse_ARFF,,,,0.0,1026.0,344.0,0.0,0.0,1025.0,1.0,0.38900160789489746
-3983,3983,QSAR-TID-10545,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.2639613151550293
-3984,3984,QSAR-TID-10493,1,62,active,Sparse_ARFF,,,,0.0,1026.0,52.0,0.0,0.0,1025.0,1.0,0.31201767921447754
-3985,3985,QSAR-TID-12724,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1257.0,0.0,0.0,1025.0,1.0,0.40001678466796875
-3986,3986,QSAR-TID-101434,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.3903205394744873
-3987,3987,QSAR-TID-11871,1,62,active,Sparse_ARFF,,,,0.0,1026.0,462.0,0.0,0.0,1025.0,1.0,0.5589971542358398
-3988,3988,QSAR-TID-101033,1,62,active,Sparse_ARFF,,,,0.0,1026.0,75.0,0.0,0.0,1025.0,1.0,0.49000096321105957
-3989,3989,QSAR-TID-101278,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.45399999618530273
-3990,3990,QSAR-TID-102826,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.29300403594970703
-3991,3991,QSAR-TID-194,1,62,active,Sparse_ARFF,,,,0.0,1026.0,5188.0,0.0,0.0,1025.0,1.0,0.5909934043884277
-3992,3992,QSAR-TID-12104,1,62,active,Sparse_ARFF,,,,0.0,1026.0,118.0,0.0,0.0,1025.0,1.0,0.37900710105895996
-3993,3993,QSAR-TID-10320,1,62,active,Sparse_ARFF,,,,0.0,1026.0,138.0,0.0,0.0,1025.0,1.0,0.42702746391296387
-3994,3994,QSAR-TID-10797,1,62,active,Sparse_ARFF,,,,0.0,1026.0,47.0,0.0,0.0,1025.0,1.0,0.3279998302459717
-3995,3995,QSAR-TID-101073,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.37096261978149414
-3996,3996,QSAR-TID-10207,1,62,active,Sparse_ARFF,,,,0.0,1026.0,89.0,0.0,0.0,1025.0,1.0,0.39200472831726074
-3997,3997,QSAR-TID-51,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3356.0,0.0,0.0,1025.0,1.0,0.4829981327056885
-3998,3998,QSAR-TID-10230,1,62,active,Sparse_ARFF,,,,0.0,1026.0,19.0,0.0,0.0,1025.0,1.0,0.7130014896392822
-3999,3999,QSAR-TID-11430,1,62,active,Sparse_ARFF,,,,0.0,1026.0,614.0,0.0,0.0,1025.0,1.0,0.47699403762817383
-4000,4000,QSAR-TID-106,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1236.0,0.0,0.0,1025.0,1.0,0.46193909645080566
-4001,4001,QSAR-TID-100042,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2590336799621582
-4002,4002,QSAR-TID-102718,1,62,active,Sparse_ARFF,,,,0.0,1026.0,31.0,0.0,0.0,1025.0,1.0,0.2749652862548828
-4003,4003,QSAR-TID-102711,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.4290330410003662
-4004,4004,QSAR-TID-100075,1,62,active,Sparse_ARFF,,,,0.0,1026.0,145.0,0.0,0.0,1025.0,1.0,0.3979647159576416
-4005,4005,QSAR-TID-48,1,62,active,Sparse_ARFF,,,,0.0,1026.0,551.0,0.0,0.0,1025.0,1.0,0.590998649597168
-4006,4006,QSAR-TID-100995,1,62,active,Sparse_ARFF,,,,0.0,1026.0,785.0,0.0,0.0,1025.0,1.0,0.5980024337768555
-4007,4007,QSAR-TID-17147,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.35399651527404785
-4008,4008,QSAR-TID-101058,1,62,active,Sparse_ARFF,,,,0.0,1026.0,594.0,0.0,0.0,1025.0,1.0,0.5290012359619141
-4009,4009,QSAR-TID-163,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2570.0,0.0,0.0,1025.0,1.0,0.5799996852874756
-4010,4010,QSAR-TID-10426,1,62,active,Sparse_ARFF,,,,0.0,1026.0,27.0,0.0,0.0,1025.0,1.0,0.32352137565612793
-4011,4011,QSAR-TID-10926,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.3915364742279053
-4012,4012,QSAR-TID-215,1,62,active,Sparse_ARFF,,,,0.0,1026.0,726.0,0.0,0.0,1025.0,1.0,0.4519963264465332
-4013,4013,QSAR-TID-12268,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1352.0,0.0,0.0,1025.0,1.0,0.4501004219055176
-4014,4014,QSAR-TID-103453,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.5244982242584229
-4015,4015,QSAR-TID-11575,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1490.0,0.0,0.0,1025.0,1.0,0.4723358154296875
-4016,4016,QSAR-TID-12708,1,62,active,Sparse_ARFF,,,,0.0,1026.0,469.0,0.0,0.0,1025.0,1.0,0.42569684982299805
-4017,4017,QSAR-TID-11110,1,62,active,Sparse_ARFF,,,,0.0,1026.0,969.0,0.0,0.0,1025.0,1.0,0.3699932098388672
-4018,4018,QSAR-TID-12244,1,62,active,Sparse_ARFF,,,,0.0,1026.0,10.0,0.0,0.0,1025.0,1.0,0.24157309532165527
-4019,4019,QSAR-TID-12983,1,62,active,Sparse_ARFF,,,,0.0,1026.0,810.0,0.0,0.0,1025.0,1.0,0.4089667797088623
-4020,4020,QSAR-TID-11225,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2585.0,0.0,0.0,1025.0,1.0,0.4039955139160156
-4021,4021,QSAR-TID-100863,1,62,active,Sparse_ARFF,,,,0.0,1026.0,350.0,0.0,0.0,1025.0,1.0,0.37200331687927246
-4022,4022,QSAR-TID-10625,1,62,active,Sparse_ARFF,,,,0.0,1026.0,40.0,0.0,0.0,1025.0,1.0,0.26099586486816406
-4023,4023,QSAR-TID-30027,1,62,active,Sparse_ARFF,,,,0.0,1026.0,83.0,0.0,0.0,1025.0,1.0,0.41700100898742676
-4024,4024,QSAR-TID-10142,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2872.0,0.0,0.0,1025.0,1.0,0.40199995040893555
-4025,4025,QSAR-TID-11361,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.34203505516052246
-4026,4026,QSAR-TID-17085,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1159.0,0.0,0.0,1025.0,1.0,0.38396215438842773
-4027,4027,QSAR-TID-11907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,270.0,0.0,0.0,1025.0,1.0,0.3209998607635498
-4028,4028,QSAR-TID-10277,1,62,active,Sparse_ARFF,,,,0.0,1026.0,886.0,0.0,0.0,1025.0,1.0,0.36803579330444336
-4029,4029,QSAR-TID-11296,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.3439652919769287
-4030,4030,QSAR-TID-17086,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.268841028213501
-4031,4031,QSAR-TID-10402,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.2859940528869629
-4032,4032,QSAR-TID-101504,1,62,active,Sparse_ARFF,,,,0.0,1026.0,99.0,0.0,0.0,1025.0,1.0,0.3590049743652344
-4033,4033,QSAR-TID-30047,1,62,active,Sparse_ARFF,,,,0.0,1026.0,97.0,0.0,0.0,1025.0,1.0,0.377971887588501
-4034,4034,QSAR-TID-11054,1,62,active,Sparse_ARFF,,,,0.0,1026.0,344.0,0.0,0.0,1025.0,1.0,0.33603358268737793
-4035,4035,QSAR-TID-11499,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.22999358177185059
-4036,4036,QSAR-TID-11064,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.257004976272583
-4037,4037,QSAR-TID-11286,1,62,active,Sparse_ARFF,,,,0.0,1026.0,297.0,0.0,0.0,1025.0,1.0,0.3323183059692383
-4038,4038,QSAR-TID-17024,1,62,active,Sparse_ARFF,,,,0.0,1026.0,373.0,0.0,0.0,1025.0,1.0,0.34000611305236816
-4039,4039,QSAR-TID-30014,1,62,active,Sparse_ARFF,,,,0.0,1026.0,987.0,0.0,0.0,1025.0,1.0,0.3809940814971924
-4040,4040,QSAR-TID-20162,1,62,active,Sparse_ARFF,,,,0.0,1026.0,156.0,0.0,0.0,1025.0,1.0,0.31890320777893066
-4041,4041,QSAR-TID-100097,1,62,active,Sparse_ARFF,,,,0.0,1026.0,894.0,0.0,0.0,1025.0,1.0,0.3670368194580078
-4042,4042,QSAR-TID-12536,1,62,active,Sparse_ARFF,,,,0.0,1026.0,202.0,0.0,0.0,1025.0,1.0,0.34496164321899414
-4043,4043,QSAR-TID-103458,1,62,active,Sparse_ARFF,,,,0.0,1026.0,72.0,0.0,0.0,1025.0,1.0,0.3299999237060547
-4044,4044,QSAR-TID-100862,1,62,active,Sparse_ARFF,,,,0.0,1026.0,177.0,0.0,0.0,1025.0,1.0,0.30500197410583496
-4045,4045,QSAR-TID-259,1,62,active,Sparse_ARFF,,,,0.0,1026.0,4332.0,0.0,0.0,1025.0,1.0,0.42380690574645996
-4046,4046,QSAR-TID-12955,1,62,active,Sparse_ARFF,,,,0.0,1026.0,532.0,0.0,0.0,1025.0,1.0,0.3500244617462158
-4047,4047,QSAR-TID-101225,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.345888614654541
-4048,4048,QSAR-TID-11727,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1174.0,0.0,0.0,1025.0,1.0,0.3869946002960205
-4049,4049,QSAR-TID-282,1,62,active,Sparse_ARFF,,,,0.0,1026.0,479.0,0.0,0.0,1025.0,1.0,0.3640015125274658
-4050,4050,QSAR-TID-218,1,62,active,Sparse_ARFF,,,,0.0,1026.0,613.0,0.0,0.0,1025.0,1.0,0.3829646110534668
-4051,4051,QSAR-TID-11379,1,62,active,Sparse_ARFF,,,,0.0,1026.0,429.0,0.0,0.0,1025.0,1.0,0.354032039642334
-4052,4052,QSAR-TID-10264,1,62,active,Sparse_ARFF,,,,0.0,1026.0,146.0,0.0,0.0,1025.0,1.0,0.38599538803100586
-4053,4053,QSAR-TID-30009,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.3689713478088379
-4054,4054,QSAR-TID-11168,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.27402687072753906
-4055,4055,QSAR-TID-10654,1,62,active,Sparse_ARFF,,,,0.0,1026.0,122.0,0.0,0.0,1025.0,1.0,0.32752227783203125
-4056,4056,QSAR-TID-277,1,62,active,Sparse_ARFF,,,,0.0,1026.0,133.0,0.0,0.0,1025.0,1.0,0.3119990825653076
-4057,4057,QSAR-TID-10547,1,62,active,Sparse_ARFF,,,,0.0,1026.0,622.0,0.0,0.0,1025.0,1.0,0.38599634170532227
-4058,4058,QSAR-TID-11634,1,62,active,Sparse_ARFF,,,,0.0,1026.0,569.0,0.0,0.0,1025.0,1.0,0.35401487350463867
-4059,4059,QSAR-TID-10364,1,62,active,Sparse_ARFF,,,,0.0,1026.0,64.0,0.0,0.0,1025.0,1.0,0.3359978199005127
-4060,4060,QSAR-TID-11602,1,62,active,Sparse_ARFF,,,,0.0,1026.0,53.0,0.0,0.0,1025.0,1.0,0.259749174118042
-4061,4061,QSAR-TID-11287,1,62,active,Sparse_ARFF,,,,0.0,1026.0,100.0,0.0,0.0,1025.0,1.0,0.3309614658355713
-4062,4062,QSAR-TID-10844,1,62,active,Sparse_ARFF,,,,0.0,1026.0,166.0,0.0,0.0,1025.0,1.0,0.3715832233428955
-4063,4063,QSAR-TID-245,1,62,active,Sparse_ARFF,,,,0.0,1026.0,20.0,0.0,0.0,1025.0,1.0,0.21797943115234375
-4064,4064,QSAR-TID-10695,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1292.0,0.0,0.0,1025.0,1.0,0.3769998550415039
-4065,4065,QSAR-TID-100907,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36051487922668457
-4066,4066,QSAR-TID-10528,1,62,active,Sparse_ARFF,,,,0.0,1026.0,62.0,0.0,0.0,1025.0,1.0,0.27503013610839844
-4067,4067,QSAR-TID-11066,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.23958826065063477
-4068,4068,QSAR-TID-100990,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3659999370574951
-4069,4069,QSAR-TID-101180,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.33499932289123535
-4070,4070,QSAR-TID-100796,1,62,active,Sparse_ARFF,,,,0.0,1026.0,14.0,0.0,0.0,1025.0,1.0,0.2612006664276123
-4071,4071,QSAR-TID-10950,1,62,active,Sparse_ARFF,,,,0.0,1026.0,889.0,0.0,0.0,1025.0,1.0,0.3609936237335205
-4072,4072,QSAR-TID-30030,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.36200475692749023
-4073,4073,QSAR-TID-17023,1,62,active,Sparse_ARFF,,,,0.0,1026.0,18.0,0.0,0.0,1025.0,1.0,0.2979736328125
-4074,4074,QSAR-TID-11891,1,62,active,Sparse_ARFF,,,,0.0,1026.0,121.0,0.0,0.0,1025.0,1.0,0.31499385833740234
-4075,4075,QSAR-TID-10434,1,62,active,Sparse_ARFF,,,,0.0,1026.0,3650.0,0.0,0.0,1025.0,1.0,0.5215322971343994
-4076,4076,QSAR-TID-10773,1,62,active,Sparse_ARFF,,,,0.0,1026.0,525.0,0.0,0.0,1025.0,1.0,0.5079965591430664
-4077,4077,QSAR-TID-11261,1,62,active,Sparse_ARFF,,,,0.0,1026.0,748.0,0.0,0.0,1025.0,1.0,0.47100377082824707
-4078,4078,QSAR-TID-12699,1,62,active,Sparse_ARFF,,,,0.0,1026.0,789.0,0.0,0.0,1025.0,1.0,0.46703195571899414
-4079,4079,QSAR-TID-103106,1,62,active,Sparse_ARFF,,,,0.0,1026.0,664.0,0.0,0.0,1025.0,1.0,0.5859487056732178
-4080,4080,QSAR-TID-11636,1,62,active,Sparse_ARFF,,,,0.0,1026.0,411.0,0.0,0.0,1025.0,1.0,0.38899660110473633
-4081,4081,QSAR-TID-100949,1,62,active,Sparse_ARFF,,,,0.0,1026.0,102.0,0.0,0.0,1025.0,1.0,0.4100310802459717
-4082,4082,QSAR-TID-12173,1,62,active,Sparse_ARFF,,,,0.0,1026.0,114.0,0.0,0.0,1025.0,1.0,0.3101942539215088
-4083,4083,QSAR-TID-103037,1,62,active,Sparse_ARFF,,,,0.0,1026.0,39.0,0.0,0.0,1025.0,1.0,0.27898216247558594
-4084,4084,QSAR-TID-10396,1,62,active,Sparse_ARFF,,,,0.0,1026.0,662.0,0.0,0.0,1025.0,1.0,0.3924379348754883
-4085,4085,QSAR-TID-10967,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.4547088146209717
-4086,4086,QSAR-TID-12264,1,62,active,Sparse_ARFF,,,,0.0,1026.0,24.0,0.0,0.0,1025.0,1.0,0.27483320236206055
-4087,4087,QSAR-TID-101226,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.38506460189819336
-4088,4088,QSAR-TID-30036,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1116.0,0.0,0.0,1025.0,1.0,0.4220280647277832
-4089,4089,QSAR-TID-101211,1,62,active,Sparse_ARFF,,,,0.0,1026.0,82.0,0.0,0.0,1025.0,1.0,0.3739199638366699
-4090,4090,QSAR-TID-18046,1,62,active,Sparse_ARFF,,,,0.0,1026.0,337.0,0.0,0.0,1025.0,1.0,0.38782477378845215
-4091,4091,QSAR-TID-10647,1,62,active,Sparse_ARFF,,,,0.0,1026.0,890.0,0.0,0.0,1025.0,1.0,0.4250345230102539
-4092,4092,QSAR-TID-100914,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.3920328617095947
-4093,4093,QSAR-TID-100909,1,62,active,Sparse_ARFF,,,,0.0,1026.0,81.0,0.0,0.0,1025.0,1.0,0.3899219036102295
-4094,4094,QSAR-TID-20105,1,62,active,Sparse_ARFF,,,,0.0,1026.0,101.0,0.0,0.0,1025.0,1.0,0.35784173011779785
-4095,4095,QSAR-TID-10355,1,62,active,Sparse_ARFF,,,,0.0,1026.0,15.0,0.0,0.0,1025.0,1.0,0.23403573036193848
-4096,4096,QSAR-TID-30028,1,62,active,Sparse_ARFF,,,,0.0,1026.0,399.0,0.0,0.0,1025.0,1.0,0.36444091796875
-4097,4097,QSAR-TID-101069,1,62,active,Sparse_ARFF,,,,0.0,1026.0,73.0,0.0,0.0,1025.0,1.0,0.3730297088623047
-4098,4098,QSAR-TID-102849,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.27395081520080566
-4099,4099,QSAR-TID-11802,1,62,active,Sparse_ARFF,,,,0.0,1026.0,13.0,0.0,0.0,1025.0,1.0,0.2630317211151123
-4100,4100,QSAR-TID-100410,1,62,active,Sparse_ARFF,,,,0.0,1026.0,625.0,0.0,0.0,1025.0,1.0,0.4328491687774658
-4101,4101,QSAR-TID-10696,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1070.0,0.0,0.0,1025.0,1.0,0.43696141242980957
-4102,4102,QSAR-TID-10294,1,62,active,Sparse_ARFF,,,,0.0,1026.0,342.0,0.0,0.0,1025.0,1.0,0.3640286922454834
-4103,4103,QSAR-TID-100948,1,62,active,Sparse_ARFF,,,,0.0,1026.0,139.0,0.0,0.0,1025.0,1.0,0.4873654842376709
-4104,4104,QSAR-TID-103062,1,62,active,Sparse_ARFF,,,,0.0,1026.0,74.0,0.0,0.0,1025.0,1.0,0.6679975986480713
-4105,4105,QSAR-TID-101301,1,62,active,Sparse_ARFF,,,,0.0,1026.0,151.0,0.0,0.0,1025.0,1.0,0.41499805450439453
-4106,4106,QSAR-TID-17113,1,62,active,Sparse_ARFF,,,,0.0,1026.0,12.0,0.0,0.0,1025.0,1.0,0.26003360748291016
-4107,4107,QSAR-TID-11049,1,62,active,Sparse_ARFF,,,,0.0,1026.0,22.0,0.0,0.0,1025.0,1.0,0.255962610244751
-4108,4108,QSAR-TID-17107,1,62,active,Sparse_ARFF,,,,0.0,1026.0,290.0,0.0,0.0,1025.0,1.0,0.3630352020263672
-4109,4109,QSAR-TID-101312,1,62,active,Sparse_ARFF,,,,0.0,1026.0,80.0,0.0,0.0,1025.0,1.0,0.4030001163482666
-4110,4110,QSAR-TID-11896,1,62,active,Sparse_ARFF,,,,0.0,1026.0,35.0,0.0,0.0,1025.0,1.0,0.2850489616394043
-4111,4111,QSAR-TID-76,1,62,active,Sparse_ARFF,,,,0.0,1026.0,454.0,0.0,0.0,1025.0,1.0,0.39196348190307617
-4112,4112,QSAR-TID-100906,1,62,active,Sparse_ARFF,,,,0.0,1026.0,79.0,0.0,0.0,1025.0,1.0,0.3660287857055664
-4113,4113,QSAR-TID-10274,1,62,active,Sparse_ARFF,,,,0.0,1026.0,940.0,0.0,0.0,1025.0,1.0,0.37800121307373047
-4114,4114,QSAR-TID-10548,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1100.0,0.0,0.0,1025.0,1.0,0.37798476219177246
-4115,4115,QSAR-TID-108,1,62,active,Sparse_ARFF,,,,0.0,1026.0,2869.0,0.0,0.0,1025.0,1.0,0.4493722915649414
-4116,4116,QSAR-TID-12828,1,62,active,Sparse_ARFF,,,,0.0,1026.0,85.0,0.0,0.0,1025.0,1.0,0.3759951591491699
-4117,4117,QSAR-TID-10621,1,62,active,Sparse_ARFF,,,,0.0,1026.0,99.0,0.0,0.0,1025.0,1.0,0.36003684997558594
-4118,4118,QSAR-TID-11780,1,62,active,Sparse_ARFF,,,,0.0,1026.0,50.0,0.0,0.0,1025.0,1.0,0.3167095184326172
-4119,4119,QSAR-TID-30043,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1103.0,0.0,0.0,1025.0,1.0,0.3945739269256592
-4120,4120,QSAR-TID-10473,1,62,active,Sparse_ARFF,,,,0.0,1026.0,376.0,0.0,0.0,1025.0,1.0,0.3710203170776367
-4121,4121,QSAR-TID-10682,1,62,active,Sparse_ARFF,,,,0.0,1026.0,23.0,0.0,0.0,1025.0,1.0,0.30104851722717285
-4122,4122,QSAR-TID-138,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1426.0,0.0,0.0,1025.0,1.0,0.6540017127990723
-4123,4123,QSAR-TID-101332,1,62,active,Sparse_ARFF,,,,0.0,1026.0,106.0,0.0,0.0,1025.0,1.0,0.4299967288970947
-4124,4124,QSAR-TID-56,1,62,active,Sparse_ARFF,,,,0.0,1026.0,1631.0,0.0,0.0,1025.0,1.0,0.43851184844970703
-4125,4125,QSAR-TID-11784,1,62,active,Sparse_ARFF,,,,0.0,1026.0,65.0,0.0,0.0,1025.0,1.0,0.32291221618652344
-4126,4126,QSAR-TID-271,1,62,active,Sparse_ARFF,,,,0.0,1026.0,576.0,0.0,0.0,1025.0,1.0,0.3820345401763916
-4127,4127,QSAR-TID-30004,1,62,active,Sparse_ARFF,,,,0.0,1026.0,84.0,0.0,0.0,1025.0,1.0,0.3679652214050293
-4128,4128,QSAR-TID-10803,1,62,active,Sparse_ARFF,,,,0.0,1026.0,37.0,0.0,0.0,1025.0,1.0,0.294999361038208
-4129,4129,QSAR-TID-12327,1,62,active,Sparse_ARFF,,,,0.0,1026.0,42.0,0.0,0.0,1025.0,1.0,0.3328433036804199
-4130,4130,QSAR-TID-10962,1,62,active,Sparse_ARFF,,,,0.0,1026.0,11.0,0.0,0.0,1025.0,1.0,0.2630305290222168
-4131,4131,QSAR-TID-101276,1,62,active,Sparse_ARFF,,,,0.0,1026.0,25.0,0.0,0.0,1025.0,1.0,0.30496835708618164
-4134,4134,Bioresponse,1,2,active,ARFF,2034.0,2.0,1717.0,2.0,1777.0,3751.0,0.0,0.0,1776.0,1.0,0.30600666999816895
-4135,4135,Amazon_employee_access,1,2,active,ARFF,30872.0,7518.0,1897.0,2.0,10.0,32769.0,0.0,0.0,0.0,10.0,0.1648082733154297
-4136,4136,Dexter,1,724,active,Sparse_ARFF,300.0,2.0,300.0,2.0,20001.0,600.0,0.0,0.0,20000.0,1.0,6.898542881011963
-4137,4137,Dorothea,1,724,active,Sparse_ARFF,1038.0,2.0,112.0,2.0,100001.0,1150.0,0.0,0.0,100000.0,1.0,36.13736033439636
-4138,4138,DBpedia(YAGO).arff,1,749,active,Sparse_ARFF,,2.0,,,2401.0,2886305.0,0.0,0.0,1.0,2400.0,8.601033210754395
-4139,4139,Wikidata,1,749,active,Sparse_ARFF,,2.0,,,2331.0,19254100.0,0.0,0.0,0.0,2331.0,15.335453987121582
-4140,4140,NELL,1,749,active,Sparse_ARFF,,2.0,,,769.0,120720.0,0.0,0.0,0.0,769.0,0.44796133041381836
-4153,4153,Smartphone-Based_Recognition_of_Human_Activities,1,2,active,ARFF,30.0,6.0,30.0,6.0,68.0,180.0,0.0,0.0,66.0,2.0,0.05400276184082031
-4154,4154,CreditCardSubset,1,780,active,ARFF,14217.0,2.0,23.0,2.0,31.0,14240.0,0.0,0.0,30.0,1.0,0.06299924850463867
-4329,4329,thoracic_surgery,1,874,active,ARFF,400.0,7.0,70.0,2.0,17.0,470.0,0.0,0.0,3.0,14.0,0.0500338077545166
-4340,4340,Engine1,1,417,active,ARFF,257.0,3.0,1.0,3.0,6.0,383.0,0.0,0.0,5.0,1.0,0.03699493408203125
-4353,4353,Concrete_Data,1,952,active,ARFF,,,,,9.0,1030.0,0.0,0.0,9.0,0.0,0.04100489616394043
-4531,4531,parkinsons-telemonitoring,1,874,active,ARFF,,,,,22.0,5875.0,0.0,0.0,22.0,0.0,0.04700112342834473
-4532,4532,higgs,1,874,active,ARFF,,,,0.0,29.0,98050.0,1.0,9.0,29.0,0.0,0.10299396514892578
-4533,4533,KEGGMetabolicReactionNetwork,1,874,active,ARFF,,63009.0,,,29.0,65554.0,0.0,0.0,27.0,2.0,0.5360286235809326
-4534,4534,PhishingWebsites,1,874,active,ARFF,6157.0,3.0,4898.0,2.0,31.0,11055.0,0.0,0.0,0.0,31.0,0.07000279426574707
-4535,4535,Census-Income,1,874,active,ARFF,,51.0,,,42.0,299285.0,0.0,0.0,13.0,29.0,0.23599576950073242
-4537,4537,GesturePhaseSegmentationRAW,1,874,active,ARFF,,,,,,,,,,,0.09000182151794434
-4538,4538,GesturePhaseSegmentationProcessed,1,874,active,ARFF,2950.0,5.0,998.0,5.0,33.0,9873.0,0.0,0.0,32.0,1.0,0.05600094795227051
-4540,4540,ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings,1,874,active,ARFF,,,,,29.0,1039.0,0.0,0.0,29.0,0.0,0.04699969291687012
-4541,4541,Diabetes130US,1,874,active,ARFF,54864.0,790.0,11357.0,3.0,50.0,101766.0,0.0,0.0,13.0,37.0,0.12802672386169434
-4544,4544,GeographicalOriginalofMusic,1,874,active,ARFF,,,,0.0,118.0,1059.0,0.0,0.0,118.0,0.0,0.05697202682495117
-4545,4545,OnlineNewsPopularity,1,874,active,ARFF,,39644.0,,0.0,61.0,39644.0,0.0,0.0,60.0,1.0,0.39638376235961914
-4546,4546,Plants,1,874,active,ARFF,,,,,,,,,,,0.0839693546295166
-4548,4548,BuzzinsocialmediaTomsHardware,1,874,active,ARFF,,,,,97.0,28179.0,0.0,0.0,97.0,0.0,0.10800004005432129
-4549,4549,Buzzinsocialmedia_Twitter,1,874,active,ARFF,,,,0.0,78.0,583250.0,0.0,0.0,78.0,0.0,0.895000696182251
-4551,4551,WaveformDatabaseGenerator,1,874,active,ARFF,,,,,22.0,5000.0,0.0,0.0,22.0,0.0,0.06199789047241211
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-40992,40992,sylva_agnostic,2,4265,active,ARFF,,2.0,,,217.0,14395.0,0.0,0.0,40.0,177.0,0.15244269371032715
-40993,40993,ada_agnostic,2,4265,active,ARFF,,2.0,,,49.0,4562.0,0.0,0.0,6.0,43.0,0.06700587272644043
-40994,40994,climate-model-simulation-crashes,4,4265,active,ARFF,494.0,2.0,46.0,2.0,21.0,540.0,0.0,0.0,20.0,1.0,0.043000221252441406
-40996,40996,Fashion-MNIST,1,2506,active,ARFF,7000.0,10.0,7000.0,10.0,785.0,70000.0,0.0,0.0,784.0,1.0,1.011584758758545
-40997,40997,jungle_chess_2pcs_endgame_panther_lion,1,1,active,arff,2523.0,3.0,145.0,3.0,47.0,4704.0,0.0,0.0,20.0,27.0,0.06000208854675293
-40998,40998,jungle_chess_2pcs_endgame_panther_lion,2,1,active,arff,2523.0,3.0,145.0,3.0,47.0,4704.0,0.0,0.0,20.0,27.0,0.06013655662536621
-40999,40999,jungle_chess_2pcs_endgame_elephant_elephant,1,1,active,arff,1316.0,3.0,1035.0,2.0,47.0,2351.0,0.0,0.0,20.0,27.0,0.05799293518066406
-41000,41000,jungle_chess_2pcs_endgame_panther_elephant,1,1,active,arff,2495.0,3.0,195.0,3.0,47.0,4704.0,0.0,0.0,20.0,27.0,0.06000518798828125
-41001,41001,jungle_chess_2pcs_endgame_complete,1,1,active,arff,23062.0,3.0,4335.0,3.0,47.0,44819.0,3528.0,10584.0,20.0,27.0,0.08275461196899414
-41002,41002,jungle_chess_2pcs_endgame_rat_panther,1,1,active,arff,2615.0,3.0,1338.0,3.0,47.0,5880.0,1176.0,3528.0,20.0,27.0,0.06597042083740234
-41003,41003,jungle_chess_2pcs_endgame_rat_elephant,1,1,active,arff,2917.0,3.0,772.0,3.0,47.0,5880.0,1176.0,3528.0,20.0,27.0,0.06103038787841797
-41004,41004,jungle_chess_2pcs_endgame_lion_elephant,1,1,active,arff,2079.0,3.0,1216.0,3.0,47.0,4704.0,0.0,0.0,20.0,27.0,0.06196761131286621
-41005,41005,jungle_chess_2pcs_endgame_rat_rat,1,1,active,arff,2055.0,3.0,1605.0,2.0,47.0,3660.0,0.0,0.0,20.0,27.0,0.05900239944458008
-41006,41006,jungle_chess_2pcs_endgame_rat_lion,1,1,active,arff,3078.0,3.0,380.0,3.0,47.0,5880.0,1176.0,3528.0,20.0,27.0,0.0630037784576416
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-41022,41022,Short_Track_Speed_Skating,2,2,active,ARFF,,,,,,,,,,,0.0840003490447998
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-41091,41091,spellman_yeast,1,5348,active,ARFF,,,,,82.0,6178.0,6178.0,59017.0,82.0,0.0,0.0591580867767334
-41103,41103,STL-10,1,2506,active,ARFF,1300.0,10.0,1300.0,10.0,27649.0,13000.0,0.0,0.0,27648.0,1.0,10.990994215011597
-41138,41138,APSFailure,1,869,active,ARFF,74625.0,2.0,1375.0,2.0,171.0,76000.0,75244.0,1078695.0,170.0,1.0,0.3210017681121826
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-41143,41143,jasmine,1,1478,active,ARFF,1492.0,2.0,1492.0,2.0,145.0,2984.0,0.0,0.0,8.0,137.0,0.12800216674804688
-41144,41144,madeline,1,1478,active,ARFF,1579.0,2.0,1561.0,2.0,260.0,3140.0,0.0,0.0,259.0,1.0,0.0899965763092041
-41145,41145,philippine,1,1478,active,ARFF,2916.0,2.0,2916.0,2.0,309.0,5832.0,0.0,0.0,308.0,1.0,0.12500452995300293
-41146,41146,sylvine,1,1478,active,ARFF,2562.0,2.0,2562.0,2.0,21.0,5124.0,0.0,0.0,20.0,1.0,0.05299878120422363
-41147,41147,albert,1,1478,active,ARFF,212620.0,,212620.0,2.0,79.0,425240.0,425159.0,2734000.0,26.0,53.0,10.032063484191895
-41150,41150,MiniBooNE,1,869,active,ARFF,93565.0,2.0,36499.0,2.0,51.0,130064.0,0.0,0.0,50.0,1.0,0.1939997673034668
-41156,41156,ada,1,1478,active,ARFF,3118.0,2.0,1029.0,2.0,49.0,4147.0,0.0,0.0,48.0,1.0,0.05300498008728027
-41157,41157,arcene,2,1478,active,ARFF,56.0,2.0,44.0,2.0,10001.0,100.0,0.0,0.0,10000.0,1.0,0.6629915237426758
-41158,41158,gina,1,1478,active,ARFF,1603.0,2.0,1550.0,2.0,971.0,3153.0,0.0,0.0,970.0,1.0,0.20000362396240234
-41159,41159,guillermo,1,1478,active,ARFF,11997.0,2.0,8003.0,2.0,4297.0,20000.0,0.0,0.0,4296.0,1.0,2.3190274238586426
-41160,41160,rl,1,1478,active,ARFF,28411.0,2580.0,2995.0,2.0,23.0,31406.0,17204.0,29756.0,8.0,15.0,0.1139683723449707
-41161,41161,riccardo,1,1478,active,ARFF,15000.0,2.0,5000.0,2.0,4297.0,20000.0,0.0,0.0,4296.0,1.0,2.395998477935791
-41162,41162,kick,1,1478,active,ARFF,64007.0,1063.0,8976.0,2.0,33.0,72983.0,69709.0,149271.0,14.0,19.0,0.10200047492980957
-41163,41163,dilbert,1,1478,active,ARFF,2049.0,5.0,1913.0,5.0,2001.0,10000.0,0.0,0.0,2000.0,1.0,0.631331205368042
-41164,41164,fabert,1,1478,active,ARFF,1927.0,7.0,502.0,7.0,801.0,8237.0,0.0,0.0,800.0,1.0,0.22650790214538574
-41165,41165,robert,1,1478,active,ARFF,1043.0,10.0,958.0,10.0,7201.0,10000.0,0.0,0.0,7200.0,1.0,2.2195680141448975
-41166,41166,volkert,1,1478,active,ARFF,12806.0,10.0,1361.0,10.0,181.0,58310.0,0.0,0.0,180.0,1.0,0.24627304077148438
-41167,41167,dionis,1,1478,active,ARFF,2469.0,355.0,878.0,355.0,61.0,416188.0,0.0,0.0,60.0,1.0,0.5046069622039795
-41168,41168,jannis,1,1478,active,ARFF,38522.0,4.0,1687.0,4.0,55.0,83733.0,0.0,0.0,54.0,1.0,0.12899994850158691
-41169,41169,helena,1,1478,active,ARFF,4005.0,100.0,111.0,100.0,28.0,65196.0,0.0,0.0,27.0,1.0,0.07500147819519043
-41170,41170,TUPRASBoilerData,1,6363,active,ARFF,,44643.0,,,8.0,44643.0,44643.0,44643.0,7.0,1.0,0.3267843723297119
-41187,41187,mauna-loa-atmospheric-co2,1,6403,active,ARFF,,1.0,,0.0,7.0,2225.0,0.0,0.0,6.0,1.0,0.0415349006652832
-41197,41197,ozone,1,3508,active,ARFF,,,,,,,,,,,0.07975244522094727
-41228,41228,Klaverjas2018,1,1,active,arff,528339.0,2.0,453202.0,2.0,33.0,981541.0,0.0,0.0,32.0,1.0,1.32399582862854
-41265,41265,Titanic,4,5243,active,ARFF,,,,0.0,8.0,1307.0,0.0,0.0,8.0,0.0,0.04600095748901367
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-41464,41464,birds,4,2373,active,ARFF,,12.0,,,279.0,645.0,0.0,0.0,258.0,21.0,0.08650851249694824
-41465,41465,emotions,4,2373,active,ARFF,,2.0,,,78.0,593.0,0.0,0.0,72.0,6.0,0.058437347412109375
-41466,41466,enron,3,2373,active,ARFF,,2.0,,,1054.0,1702.0,0.0,0.0,0.0,1054.0,0.4468212127685547
-41467,41467,genbase,3,2373,active,ARFF,,2.0,,,1212.0,662.0,0.0,0.0,0.0,1212.0,0.5630309581756592
-41468,41468,image,3,2373,active,ARFF,,2.0,,,140.0,2000.0,0.0,0.0,135.0,5.0,0.0640249252319336
-41469,41469,langLog,2,2373,active,ARFF,,2.0,,,1079.0,1460.0,0.0,0.0,1004.0,75.0,0.16199922561645508
-41470,41470,reuters,3,2373,active,ARFF,,2.0,,,250.0,2000.0,0.0,0.0,243.0,7.0,0.07600140571594238
-41471,41471,scene,5,2373,active,ARFF,,2.0,,,300.0,2407.0,0.0,0.0,294.0,6.0,0.0902554988861084
-41472,41472,slashdot,4,2373,active,ARFF,,2.0,,,1101.0,3782.0,0.0,0.0,1079.0,22.0,0.22730278968811035
-41473,41473,yeast,8,2373,active,ARFF,,2.0,,,117.0,2417.0,0.0,0.0,103.0,14.0,0.06999564170837402
-41474,41474,andro,2,2373,active,ARFF,,,,,36.0,49.0,0.0,0.0,36.0,0.0,0.049393653869628906
-41475,41475,atp1d,2,2373,active,ARFF,,,,,417.0,337.0,0.0,0.0,417.0,0.0,0.08658790588378906
-41476,41476,atp7d,2,2373,active,ARFF,,,,,417.0,296.0,0.0,0.0,417.0,0.0,0.0859975814819336
-41477,41477,edm,2,2373,active,ARFF,,,,,18.0,154.0,0.0,0.0,18.0,0.0,0.04200029373168945
-41478,41478,enb,2,2373,active,ARFF,,,,,10.0,768.0,0.0,0.0,10.0,0.0,0.04300117492675781
-41479,41479,jura,2,2373,active,ARFF,,,,,18.0,359.0,0.0,0.0,18.0,0.0,0.042999982833862305
-41482,41482,osales,2,2373,active,ARFF,,,,,413.0,639.0,639.0,10012.0,413.0,0.0,0.09500575065612793
-41483,41483,rf1,2,2373,active,ARFF,,,,,72.0,9125.0,120.0,3264.0,72.0,0.0,0.061997413635253906
-41484,41484,rf2,2,2373,active,ARFF,,,,,584.0,9125.0,1446.0,356160.0,584.0,0.0,0.197540283203125
-41485,41485,scm1d,2,2373,active,ARFF,,,,,296.0,9803.0,0.0,0.0,296.0,0.0,0.13899970054626465
-41486,41486,scm20d,2,2373,active,ARFF,,,,,77.0,8966.0,0.0,0.0,77.0,0.0,0.06000399589538574
-41487,41487,scpf,2,2373,active,ARFF,,,,,26.0,1137.0,994.0,9255.0,26.0,0.0,0.045003652572631836
-41488,41488,sf1,2,2373,active,ARFF,,6.0,,,13.0,323.0,0.0,0.0,3.0,10.0,0.04899311065673828
-41489,41489,sf2,2,2373,active,ARFF,,6.0,,,13.0,1066.0,0.0,0.0,3.0,10.0,0.043004512786865234
-41490,41490,slump,2,2373,active,ARFF,,,,,10.0,103.0,0.0,0.0,10.0,0.0,0.0400233268737793
-41491,41491,wq,2,2373,active,ARFF,,,,,30.0,1060.0,0.0,0.0,30.0,0.0,0.047003746032714844
-41492,41492,youtube,2,2373,active,ARFF,,2.0,,,31.0,404.0,0.0,0.0,30.0,1.0,0.04296755790710449
-41496,41496,DRSongsLyrics,1,8159,active,ARFF,179.0,2.0,179.0,2.0,2.0,358.0,0.0,0.0,0.0,1.0,0.04693269729614258
-41506,41506,NewFuelCar,1,8129,active,ARFF,,,,0.0,18.0,36203.0,8971.0,8971.0,18.0,0.0,0.06833362579345703
-41510,41510,iris,9,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03905320167541504
-41511,41511,iris,10,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.042038679122924805
-41514,41514,Diabetes(scikit-learn),1,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.04341936111450195
-41515,41515,Diabetes(scikit-learn),2,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.04247450828552246
-41516,41516,Diabetes(scikit-learn),3,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.043016672134399414
-41517,41517,Diabetes(scikit-learn),4,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.04098367691040039
-41518,41518,Diabetes(scikit-learn),5,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.04100155830383301
-41519,41519,Diabetes(scikit-learn),6,2,active,arff,,,,0.0,11.0,442.0,0.0,0.0,11.0,0.0,0.04002737998962402
-41521,41521,Weather,1,2,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.0409703254699707
-41523,41523,test_dataset,3,8229,active,ARFF,,,,0.0,61.0,15547.0,14.0,280.0,61.0,0.0,0.06699824333190918
-41524,41524,test_dataset,4,8229,active,ARFF,,,,0.0,61.0,15547.0,14.0,280.0,61.0,0.0,0.06299948692321777
-41525,41525,test_dataset,5,8229,active,ARFF,,,,0.0,61.0,15547.0,14.0,280.0,61.0,0.0,0.06900644302368164
-41526,41526,test_dataset,6,8229,active,ARFF,7965.0,2.0,7582.0,2.0,61.0,15547.0,14.0,280.0,60.0,1.0,0.07300782203674316
-41533,41533,Domainome,1,8231,active,arff,1059.0,,14.0,3.0,9839.0,1637.0,1637.0,13231887.0,9838.0,0.0,1.3750145435333252
-41538,41538,conference_attendance,1,8263,active,ARFF,215.0,7.0,31.0,2.0,7.0,246.0,0.0,0.0,0.0,7.0,0.05100393295288086
-41539,41539,rainfall_bangladesh,3,5243,active,ARFF,,33.0,,0.0,4.0,16755.0,0.0,0.0,2.0,2.0,0.05097460746765137
-41540,41540,black_friday,1,5243,active,ARFF,,7.0,,0.0,10.0,166821.0,0.0,0.0,6.0,4.0,0.08199071884155273
-41542,41542,CD4,1,8295,active,ARFF,,,,,62.0,16484.0,0.0,0.0,62.0,0.0,0.07161450386047363
-41544,41544,Weather,2,2,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.040287017822265625
-41545,41545,emotions,5,2373,active,ARFF,,2.0,,,78.0,593.0,0.0,0.0,72.0,6.0,0.05302739143371582
-41546,41546,image,4,2373,active,ARFF,,2.0,,,140.0,2000.0,0.0,0.0,135.0,5.0,0.06438183784484863
-41547,41547,reuters,4,2373,active,ARFF,,2.0,,,250.0,2000.0,0.0,0.0,243.0,7.0,0.09977889060974121
-41548,41548,scene,6,2373,active,ARFF,,2.0,,,300.0,2407.0,0.0,0.0,294.0,6.0,0.15599727630615234
-41549,41549,andro,3,2373,active,ARFF,,,,,36.0,49.0,0.0,0.0,36.0,0.0,0.052000999450683594
-41550,41550,atp1d,3,2373,active,ARFF,,,,,417.0,337.0,0.0,0.0,417.0,0.0,0.09700250625610352
-41551,41551,atp7d,3,2373,active,ARFF,,,,,417.0,296.0,0.0,0.0,417.0,0.0,0.09099745750427246
-41552,41552,edm,3,2373,active,ARFF,,,,,18.0,154.0,0.0,0.0,18.0,0.0,0.05502009391784668
-41553,41553,enb,3,2373,active,ARFF,,,,,10.0,768.0,0.0,0.0,10.0,0.0,0.055979013442993164
-41554,41554,jura,3,2373,active,ARFF,,,,,18.0,359.0,0.0,0.0,18.0,0.0,0.05599832534790039
-41555,41555,scpf,3,2373,active,ARFF,,,,,26.0,1137.0,994.0,9255.0,26.0,0.0,0.05800342559814453
-41556,41556,sf1,3,2373,active,ARFF,,6.0,,,13.0,323.0,0.0,0.0,3.0,10.0,0.05604720115661621
-41557,41557,sf2,3,2373,active,ARFF,,6.0,,,13.0,1066.0,0.0,0.0,3.0,10.0,0.0559544563293457
-41558,41558,slump,3,2373,active,ARFF,,,,,10.0,103.0,0.0,0.0,10.0,0.0,0.041996002197265625
-41559,41559,youtube,3,2373,active,ARFF,,2.0,,,31.0,404.0,0.0,0.0,30.0,1.0,0.09202027320861816
-41567,41567,iris,11,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.039983272552490234
-41568,41568,iris,12,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.04200029373168945
-41582,41582,iris,13,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.04000139236450195
-41583,41583,iris,14,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.04199838638305664
-41668,41668,mj,1,8456,active,ARFF,,2.0,,,2.0,8.0,0.0,0.0,0.0,1.0,0.03972887992858887
-41669,41669,mom,1,8456,active,ARFF,,3.0,,,4.0,140.0,0.0,0.0,3.0,1.0,0.040999650955200195
-41671,41671,microaggregation2,1,8569,active,ARFF,11162.0,5.0,743.0,5.0,21.0,20000.0,0.0,0.0,20.0,1.0,0.05199766159057617
-41672,41672,airlines,2,8287,active,ARFF,299119.0,293.0,240264.0,2.0,8.0,539383.0,0.0,0.0,3.0,5.0,0.12500333786010742
-41674,41674,Weather,3,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.04300212860107422
-41675,41675,Weather,4,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.041994333267211914
-41679,41679,Weather,5,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.04006338119506836
-41680,41680,Weather,6,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.046035051345825195
-41682,41682,Weather,7,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.039374351501464844
-41684,41684,Weather,8,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.04058694839477539
-41685,41685,Weather,9,8713,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.03696608543395996
-41700,41700,CPMP-2015-regression,1,8316,active,ARFF,,4.0,,0.0,27.0,2108.0,0.0,0.0,24.0,2.0,0.050131797790527344
-41701,41701,CPMP-2015-classification,1,8316,active,ARFF,208.0,4.0,78.0,4.0,27.0,527.0,0.0,0.0,24.0,2.0,0.04511260986328125
-41702,41702,MIP-2016-regression,1,8316,active,ARFF,,5.0,,0.0,148.0,1090.0,0.0,0.0,145.0,2.0,0.06664061546325684
-41703,41703,MIP-2016-classification,1,8316,active,ARFF,84.0,5.0,1.0,5.0,148.0,218.0,0.0,0.0,145.0,2.0,0.056062936782836914
-41704,41704,ASP-POTASSCO-regression,1,8316,active,ARFF,,11.0,,0.0,143.0,14234.0,2398.0,200838.0,140.0,2.0,0.10759830474853516
-41705,41705,ASP-POTASSCO-classification,1,8316,active,ARFF,258.0,11.0,21.0,11.0,143.0,1294.0,218.0,18258.0,140.0,2.0,0.06371212005615234
-41707,41707,FOREX_usddkk-day-High,1,1,active,arff,940.0,2.0,892.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.031004905700683594
-41708,41708,FOREX_eurchf-minute-Close,1,1,active,arff,194808.0,2.0,181032.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.031076431274414062
-41709,41709,FOREX_audchf-hour-High,1,1,active,arff,22481.0,2.0,21344.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029956340789794922
-41710,41710,FOREX_eurhkd-minute-High,1,1,active,arff,201397.0,2.0,174443.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000831604003906
-41711,41711,FOREX_eurusd-minute-Close,1,1,active,arff,193844.0,2.0,181996.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.031003475189208984
-41712,41712,FOREX_eurcad-hour-High,1,1,active,arff,22751.0,2.0,21074.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02799248695373535
-41713,41713,FOREX_eurnzd-day-High,1,1,active,arff,955.0,2.0,877.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.024999618530273438
-41714,41714,FOREX_eurpln-minute-High,1,1,active,arff,212917.0,2.0,162923.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027001380920410156
-41715,41715,FOREX_eurhuf-hour-High,1,1,active,arff,26892.0,2.0,16933.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02499842643737793
-41716,41716,FOREX_eurcad-day-Close,1,1,active,arff,950.0,2.0,884.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.02700209617614746
-41717,41717,FOREX_usdjpy-minute-High,1,1,active,arff,208744.0,2.0,167096.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026996612548828125
-41718,41718,FOREX_audjpy-hour-High,1,1,active,arff,22571.0,2.0,21254.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029002904891967773
-41719,41719,FOREX_eurjpy-day-High,1,1,active,arff,935.0,2.0,897.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027999401092529297
-41720,41720,FOREX_eurusd-day-High,1,1,active,arff,957.0,2.0,880.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.028035640716552734
-41721,41721,FOREX_audcad-day-High,1,1,active,arff,931.0,2.0,903.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.02699422836303711
-41722,41722,FOREX_usdjpy-day-Close,1,1,active,arff,933.0,2.0,902.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.03284811973571777
-41723,41723,FOREX_cadchf-hour-High,1,1,active,arff,22417.0,2.0,21408.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.031047821044921875
-41724,41724,FOREX_chfjpy-day-Close,1,1,active,arff,921.0,2.0,911.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02797222137451172
-41725,41725,FOREX_eurcad-day-High,1,1,active,arff,933.0,2.0,901.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.028033971786499023
-41726,41726,FOREX_audusd-day-High,1,1,active,arff,958.0,2.0,876.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026355266571044922
-41727,41727,FOREX_usdcad-hour-Close,1,1,active,arff,21939.0,2.0,21886.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.030425071716308594
-41728,41728,FOREX_cadjpy-minute-High,1,1,active,arff,201286.0,2.0,174554.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899336814880371
-41729,41729,FOREX_chfjpy-minute-Close,1,1,active,arff,192834.0,2.0,183006.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03097224235534668
-41730,41730,FOREX_usdchf-day-High,1,1,active,arff,919.0,2.0,916.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.026997804641723633
-41731,41731,FOREX_eursek-day-High,1,1,active,arff,946.0,2.0,891.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41732,41732,FOREX_usdjpy-minute-Close,1,1,active,arff,196755.0,2.0,179085.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.0280001163482666
-41733,41733,FOREX_eurhkd-day-High,1,1,active,arff,960.0,2.0,872.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.024998903274536133
-41734,41734,FOREX_eurpln-hour-Close,1,1,active,arff,22174.0,2.0,21651.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02900075912475586
-41735,41735,FOREX_eurcad-minute-Close,1,1,active,arff,190902.0,2.0,184938.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026001930236816406
-41736,41736,FOREX_eurhuf-hour-Close,1,1,active,arff,26622.0,2.0,17203.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.028998613357543945
-41737,41737,FOREX_audusd-day-Close,1,1,active,arff,922.0,2.0,912.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.038002967834472656
-41738,41738,FOREX_chfsgd-minute-High,1,1,active,arff,200426.0,2.0,175414.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029002904891967773
-41739,41739,FOREX_eurhkd-hour-High,1,1,active,arff,23386.0,2.0,20439.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02889394760131836
-41740,41740,FOREX_audchf-day-Close,1,1,active,arff,925.0,2.0,908.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.029529094696044922
-41741,41741,FOREX_eursgd-minute-High,1,1,active,arff,198468.0,2.0,177372.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02688765525817871
-41742,41742,FOREX_eurgbp-hour-High,1,1,active,arff,23024.0,2.0,20801.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03002619743347168
-41743,41743,FOREX_eurpln-minute-Close,1,1,active,arff,211424.0,2.0,164416.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.030003070831298828
-41744,41744,FOREX_eurrub-day-High,1,1,active,arff,944.0,2.0,888.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027968645095825195
-41745,41745,FOREX_chfjpy-minute-High,1,1,active,arff,200138.0,2.0,175702.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41746,41746,FOREX_cadchf-day-High,1,1,active,arff,945.0,2.0,886.0,2.0,12.0,1831.0,0.0,0.0,11.0,1.0,0.02699899673461914
-41747,41747,FOREX_audnzd-minute-Close,1,1,active,arff,192862.0,2.0,182978.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028999805450439453
-41748,41748,FOREX_usddkk-minute-Close,1,1,active,arff,191331.0,2.0,184509.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02800130844116211
-41749,41749,FOREX_gbpusd-minute-High,1,1,active,arff,204880.0,2.0,170960.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027998924255371094
-41750,41750,FOREX_eurhuf-day-Close,1,1,active,arff,929.0,2.0,905.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026018619537353516
-41751,41751,FOREX_eurnok-minute-Close,1,1,active,arff,198803.0,2.0,177037.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02898097038269043
-41752,41752,FOREX_eurjpy-minute-Close,1,1,active,arff,191775.0,2.0,184065.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026000499725341797
-41753,41753,FOREX_usdcad-day-High,1,1,active,arff,921.0,2.0,912.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.026001691818237305
-41754,41754,FOREX_eurjpy-day-Close,1,1,active,arff,936.0,2.0,896.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0279996395111084
-41755,41755,FOREX_cadchf-minute-Close,1,1,active,arff,195380.0,2.0,180460.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.036002397537231445
-41756,41756,FOREX_audsgd-day-High,1,1,active,arff,930.0,2.0,902.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.04218268394470215
-41757,41757,FOREX_usdchf-minute-Close,1,1,active,arff,197528.0,2.0,178312.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.04398775100708008
-41758,41758,FOREX_eursgd-hour-Close,1,1,active,arff,22080.0,2.0,21745.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.036818742752075195
-41759,41759,FOREX_eurtry-hour-High,1,1,active,arff,22856.0,2.0,20969.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.04000520706176758
-41760,41760,FOREX_eurhuf-day-High,1,1,active,arff,953.0,2.0,881.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.03064441680908203
-41761,41761,FOREX_eursek-minute-Close,1,1,active,arff,197356.0,2.0,178484.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03603196144104004
-41762,41762,FOREX_audsgd-hour-Close,1,1,active,arff,22091.0,2.0,21734.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03398561477661133
-41763,41763,FOREX_audcad-hour-High,1,1,active,arff,22556.0,2.0,21269.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.031013011932373047
-41764,41764,FOREX_gbpusd-day-High,1,1,active,arff,937.0,2.0,897.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.025998830795288086
-41765,41765,FOREX_eurtry-day-Close,1,1,active,arff,935.0,2.0,897.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0280001163482666
-41766,41766,FOREX_eurgbp-day-High,1,1,active,arff,938.0,2.0,897.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.028014183044433594
-41767,41767,FOREX_cadjpy-hour-Close,1,1,active,arff,22035.0,2.0,21790.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700042724609375
-41768,41768,FOREX_eurnok-hour-High,1,1,active,arff,23048.0,2.0,20777.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
-41769,41769,FOREX_audcad-day-Close,1,1,active,arff,935.0,2.0,899.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.0279998779296875
-41770,41770,FOREX_audjpy-minute-High,1,1,active,arff,202222.0,2.0,173618.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02606344223022461
-41771,41771,FOREX_eurtry-minute-Close,1,1,active,arff,200399.0,2.0,175441.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027936935424804688
-41772,41772,FOREX_audchf-minute-High,1,1,active,arff,200975.0,2.0,174865.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41773,41773,FOREX_eurtry-hour-Close,1,1,active,arff,22193.0,2.0,21632.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03000164031982422
-41774,41774,FOREX_eurhuf-minute-High,1,1,active,arff,276139.0,2.0,99701.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03903532028198242
-41775,41775,FOREX_usdcad-minute-Close,1,1,active,arff,193327.0,2.0,182513.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.042967796325683594
-41776,41776,FOREX_eurhkd-minute-Close,1,1,active,arff,191557.0,2.0,184283.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03803873062133789
-41777,41777,FOREX_eurjpy-hour-High,1,1,active,arff,22982.0,2.0,20843.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03905153274536133
-41778,41778,FOREX_eurdkk-minute-High,1,1,active,arff,244742.0,2.0,131098.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03707528114318848
-41779,41779,FOREX_eursek-hour-High,1,1,active,arff,22632.0,2.0,21193.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280759334564209
-41780,41780,FOREX_usdchf-hour-High,1,1,active,arff,22656.0,2.0,21169.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029967546463012695
-41781,41781,FOREX_audcad-hour-Close,1,1,active,arff,21995.0,2.0,21830.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.025998592376708984
-41782,41782,FOREX_usdjpy-hour-Close,1,1,active,arff,22363.0,2.0,21462.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029046058654785156
-41783,41783,FOREX_eurdkk-day-Close,1,1,active,arff,956.0,2.0,880.0,2.0,12.0,1836.0,0.0,0.0,11.0,1.0,0.02700018882751465
-41784,41784,FOREX_gbpusd-day-Close,1,1,active,arff,932.0,2.0,902.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026000261306762695
-41785,41785,FOREX_eurtry-day-High,1,1,active,arff,932.0,2.0,900.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02600383758544922
-41786,41786,FOREX_eurgbp-minute-Close,1,1,active,arff,194179.0,2.0,181661.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028001785278320312
-41787,41787,FOREX_eurpln-hour-High,1,1,active,arff,23298.0,2.0,20527.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.028994321823120117
-41788,41788,FOREX_audnzd-day-High,1,1,active,arff,1003.0,2.0,829.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.028031349182128906
-41789,41789,FOREX_eurnzd-minute-High,1,1,active,arff,196400.0,2.0,179440.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02701115608215332
-41790,41790,FOREX_cadjpy-day-Close,1,1,active,arff,923.0,2.0,911.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026035308837890625
-41791,41791,FOREX_eurusd-day-Close,1,1,active,arff,926.0,2.0,911.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.025964975357055664
-41792,41792,FOREX_usdchf-hour-Close,1,1,active,arff,22068.0,2.0,21757.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02699875831604004
-41793,41793,FOREX_eurjpy-minute-High,1,1,active,arff,200986.0,2.0,174854.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027046918869018555
-41794,41794,FOREX_nzdusd-minute-Close,1,1,active,arff,197006.0,2.0,178834.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027003765106201172
-41795,41795,FOREX_gbpusd-minute-Close,1,1,active,arff,194132.0,2.0,181708.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02802729606628418
-41796,41796,FOREX_eurrub-minute-Close,1,1,active,arff,267817.0,2.0,108023.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026985645294189453
-41797,41797,FOREX_usdjpy-day-High,1,1,active,arff,921.0,2.0,914.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.02903270721435547
-41798,41798,FOREX_usdcad-minute-High,1,1,active,arff,203805.0,2.0,172035.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03806304931640625
-41799,41799,FOREX_eurhkd-hour-Close,1,1,active,arff,22076.0,2.0,21749.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03711724281311035
-41800,41800,FOREX_cadjpy-minute-Close,1,1,active,arff,192911.0,2.0,182929.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.04100203514099121
-41801,41801,FOREX_eursgd-day-High,1,1,active,arff,950.0,2.0,882.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03999924659729004
-41802,41802,FOREX_audcad-minute-High,1,1,active,arff,198576.0,2.0,177264.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03852200508117676
-41803,41803,FOREX_eurchf-day-High,1,1,active,arff,978.0,2.0,855.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.03655552864074707
-41804,41804,FOREX_gbpusd-hour-Close,1,1,active,arff,22109.0,2.0,21716.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.030524253845214844
-41805,41805,FOREX_eurrub-hour-High,1,1,active,arff,30833.0,2.0,12992.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029558897018432617
-41806,41806,FOREX_audjpy-hour-Close,1,1,active,arff,22213.0,2.0,21612.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03000044822692871
-41807,41807,FOREX_nzdusd-minute-High,1,1,active,arff,208036.0,2.0,167804.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029013395309448242
-41808,41808,FOREX_eurgbp-minute-High,1,1,active,arff,202133.0,2.0,173707.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029986143112182617
-41809,41809,FOREX_audusd-minute-High,1,1,active,arff,207224.0,2.0,168616.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029000043869018555
-41810,41810,FOREX_audchf-minute-Close,1,1,active,arff,193638.0,2.0,182202.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028999805450439453
-41811,41811,FOREX_cadchf-day-Close,1,1,active,arff,949.0,2.0,882.0,2.0,12.0,1831.0,0.0,0.0,11.0,1.0,0.027998924255371094
-41812,41812,FOREX_eurnok-day-Close,1,1,active,arff,921.0,2.0,916.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.028002023696899414
-41813,41813,FOREX_audsgd-minute-Close,1,1,active,arff,197295.0,2.0,178545.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899932861328125
-41814,41814,FOREX_euraud-minute-Close,1,1,active,arff,191301.0,2.0,184539.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.029999256134033203
-41815,41815,FOREX_eurrub-day-Close,1,1,active,arff,918.0,2.0,914.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02700328826904297
-41816,41816,FOREX_usddkk-hour-High,1,1,active,arff,23306.0,2.0,20519.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029032468795776367
-41817,41817,FOREX_audusd-minute-Close,1,1,active,arff,195610.0,2.0,180230.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02696537971496582
-41818,41818,FOREX_euraud-day-Close,1,1,active,arff,946.0,2.0,888.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026999235153198242
-41819,41819,FOREX_eurrub-minute-High,1,1,active,arff,270976.0,2.0,104864.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026000261306762695
-41820,41820,FOREX_chfsgd-hour-High,1,1,active,arff,22965.0,2.0,20860.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999950408935547
-41821,41821,FOREX_eurpln-day-Close,1,1,active,arff,935.0,2.0,897.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025999069213867188
-41822,41822,FOREX_audnzd-minute-High,1,1,active,arff,199430.0,2.0,176410.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700209617614746
-41823,41823,FOREX_eurcad-minute-High,1,1,active,arff,197225.0,2.0,178615.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.025998353958129883
-41824,41824,FOREX_eurgbp-hour-Close,1,1,active,arff,22040.0,2.0,21785.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41825,41825,FOREX_audnzd-hour-High,1,1,active,arff,22702.0,2.0,21123.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.029999971389770508
-41826,41826,FOREX_eurnzd-day-Close,1,1,active,arff,955.0,2.0,877.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027001142501831055
-41827,41827,FOREX_euraud-hour-Close,1,1,active,arff,22133.0,2.0,21692.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02799820899963379
-41828,41828,FOREX_usdcad-hour-High,1,1,active,arff,22732.0,2.0,21093.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026036500930786133
-41829,41829,FOREX_nzdusd-day-Close,1,1,active,arff,939.0,2.0,889.0,2.0,12.0,1828.0,0.0,0.0,11.0,1.0,0.026999950408935547
-41830,41830,FOREX_nzdusd-day-High,1,1,active,arff,939.0,2.0,889.0,2.0,12.0,1828.0,0.0,0.0,11.0,1.0,0.025963783264160156
-41831,41831,FOREX_eurdkk-hour-Close,1,1,active,arff,23031.0,2.0,20794.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280001163482666
-41832,41832,FOREX_nzdusd-hour-Close,1,1,active,arff,22110.0,2.0,21715.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
-41833,41833,FOREX_cadjpy-hour-High,1,1,active,arff,22693.0,2.0,21132.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0280001163482666
-41834,41834,FOREX_usdcad-day-Close,1,1,active,arff,960.0,2.0,873.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.02700042724609375
-41835,41835,FOREX_euraud-hour-High,1,1,active,arff,22869.0,2.0,20956.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03300213813781738
-41836,41836,FOREX_cadchf-minute-High,1,1,active,arff,201076.0,2.0,174764.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.039530277252197266
-41837,41837,FOREX_audjpy-minute-Close,1,1,active,arff,193109.0,2.0,182731.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03762650489807129
-41838,41838,FOREX_cadchf-hour-Close,1,1,active,arff,21919.0,2.0,21906.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0460362434387207
-41839,41839,FOREX_cadjpy-day-High,1,1,active,arff,920.0,2.0,914.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.03597593307495117
-41840,41840,FOREX_eurnok-minute-High,1,1,active,arff,205831.0,2.0,170009.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03500223159790039
-41841,41841,FOREX_chfsgd-day-Close,1,1,active,arff,933.0,2.0,899.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02901005744934082
-41842,41842,FOREX_eurchf-hour-High,1,1,active,arff,22452.0,2.0,21373.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02698659896850586
-41843,41843,FOREX_audusd-hour-High,1,1,active,arff,23210.0,2.0,20615.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.031000137329101562
-41844,41844,FOREX_eurgbp-day-Close,1,1,active,arff,935.0,2.0,900.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.025999069213867188
-41845,41845,FOREX_eurusd-minute-High,1,1,active,arff,206541.0,2.0,169299.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000593185424805
-41846,41846,FOREX_eursek-day-Close,1,1,active,arff,925.0,2.0,912.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.025002717971801758
-41847,41847,FOREX_eurdkk-day-High,1,1,active,arff,939.0,2.0,897.0,2.0,12.0,1836.0,0.0,0.0,11.0,1.0,0.02699756622314453
-41848,41848,FOREX_chfjpy-day-High,1,1,active,arff,936.0,2.0,896.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025999784469604492
-41849,41849,FOREX_audsgd-day-Close,1,1,active,arff,923.0,2.0,909.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027999401092529297
-41850,41850,FOREX_eursek-minute-High,1,1,active,arff,205497.0,2.0,170343.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700018882751465
-41851,41851,FOREX_usdjpy-hour-High,1,1,active,arff,23367.0,2.0,20458.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0279996395111084
-41852,41852,FOREX_eurchf-minute-High,1,1,active,arff,203153.0,2.0,172687.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02800297737121582
-41853,41853,FOREX_eurnzd-minute-Close,1,1,active,arff,191269.0,2.0,184571.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02899765968322754
-41854,41854,FOREX_audcad-minute-Close,1,1,active,arff,192180.0,2.0,183660.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000831604003906
-41855,41855,FOREX_eurtry-minute-High,1,1,active,arff,208967.0,2.0,166873.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027034282684326172
-41856,41856,FOREX_eurdkk-hour-High,1,1,active,arff,23910.0,2.0,19915.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027964353561401367
-41857,41857,FOREX_audjpy-day-Close,1,1,active,arff,957.0,2.0,875.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.026999235153198242
-41858,41858,FOREX_usdchf-day-Close,1,1,active,arff,951.0,2.0,884.0,2.0,12.0,1835.0,0.0,0.0,11.0,1.0,0.0260009765625
-41859,41859,FOREX_eurnok-hour-Close,1,1,active,arff,22018.0,2.0,21807.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027000904083251953
-41860,41860,FOREX_eurusd-hour-Close,1,1,active,arff,22071.0,2.0,21754.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027999401092529297
-41861,41861,FOREX_euraud-minute-High,1,1,active,arff,197195.0,2.0,178645.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.027000904083251953
-41862,41862,FOREX_eurrub-hour-Close,1,1,active,arff,30334.0,2.0,13491.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026997804641723633
-41863,41863,FOREX_eurnok-day-High,1,1,active,arff,950.0,2.0,887.0,2.0,12.0,1837.0,0.0,0.0,11.0,1.0,0.0260009765625
-41864,41864,FOREX_chfsgd-day-High,1,1,active,arff,999.0,2.0,833.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.02499985694885254
-41865,41865,FOREX_audsgd-hour-High,1,1,active,arff,22558.0,2.0,21267.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700018882751465
-41866,41866,FOREX_euraud-day-High,1,1,active,arff,934.0,2.0,900.0,2.0,12.0,1834.0,0.0,0.0,11.0,1.0,0.026003122329711914
-41867,41867,FOREX_audnzd-day-Close,1,1,active,arff,950.0,2.0,882.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03299665451049805
-41868,41868,FOREX_eurpln-day-High,1,1,active,arff,969.0,2.0,863.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.03499937057495117
-41869,41869,FOREX_eursgd-minute-Close,1,1,active,arff,191724.0,2.0,184116.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.03849649429321289
-41870,41870,FOREX_chfjpy-hour-Close,1,1,active,arff,21996.0,2.0,21829.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.040500640869140625
-41871,41871,FOREX_usddkk-hour-Close,1,1,active,arff,22050.0,2.0,21775.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03400611877441406
-41872,41872,FOREX_eurhkd-day-Close,1,1,active,arff,917.0,2.0,915.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.0269930362701416
-41873,41873,FOREX_eurusd-hour-High,1,1,active,arff,23523.0,2.0,20302.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.03099989891052246
-41874,41874,FOREX_eursgd-day-Close,1,1,active,arff,924.0,2.0,908.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.025000572204589844
-41875,41875,FOREX_audchf-day-High,1,1,active,arff,929.0,2.0,904.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.0279998779296875
-41876,41876,FOREX_eurdkk-minute-Close,1,1,active,arff,273731.0,2.0,102109.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026998043060302734
-41877,41877,FOREX_eurchf-hour-Close,1,1,active,arff,22003.0,2.0,21822.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027001380920410156
-41878,41878,FOREX_audusd-hour-Close,1,1,active,arff,22098.0,2.0,21727.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999473571777344
-41879,41879,FOREX_gbpusd-hour-High,1,1,active,arff,23312.0,2.0,20513.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700972557067871
-41880,41880,FOREX_chfsgd-minute-Close,1,1,active,arff,195885.0,2.0,179955.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.026990175247192383
-41881,41881,FOREX_chfjpy-hour-High,1,1,active,arff,22854.0,2.0,20971.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02703571319580078
-41882,41882,FOREX_audjpy-day-High,1,1,active,arff,941.0,2.0,891.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.027964353561401367
-41883,41883,FOREX_eurnzd-hour-High,1,1,active,arff,22999.0,2.0,20826.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700042724609375
-41884,41884,FOREX_nzdusd-hour-High,1,1,active,arff,23184.0,2.0,20641.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02899932861328125
-41885,41885,FOREX_chfsgd-hour-Close,1,1,active,arff,22278.0,2.0,21547.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41886,41886,FOREX_eurnzd-hour-Close,1,1,active,arff,22350.0,2.0,21475.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999235153198242
-41887,41887,FOREX_audsgd-minute-High,1,1,active,arff,202700.0,2.0,173140.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.02700066566467285
-41888,41888,FOREX_audchf-hour-Close,1,1,active,arff,21916.0,2.0,21909.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.02703690528869629
-41889,41889,FOREX_eurjpy-hour-Close,1,1,active,arff,22103.0,2.0,21722.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0269620418548584
-41890,41890,FOREX_usddkk-minute-High,1,1,active,arff,200928.0,2.0,174912.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.025999784469604492
-41891,41891,FOREX_eurcad-hour-Close,1,1,active,arff,21914.0,2.0,21911.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.0260009765625
-41892,41892,FOREX_usdchf-minute-High,1,1,active,arff,207306.0,2.0,168534.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.028000354766845703
-41893,41893,FOREX_eursgd-hour-High,1,1,active,arff,22665.0,2.0,21160.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999711990356445
-41894,41894,FOREX_eurchf-day-Close,1,1,active,arff,952.0,2.0,881.0,2.0,12.0,1833.0,0.0,0.0,11.0,1.0,0.025999784469604492
-41895,41895,FOREX_eurhuf-minute-Close,1,1,active,arff,273138.0,2.0,102702.0,2.0,12.0,375840.0,0.0,0.0,11.0,1.0,0.030037879943847656
-41896,41896,FOREX_eursek-hour-Close,1,1,active,arff,22043.0,2.0,21782.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.027961254119873047
-41897,41897,FOREX_usddkk-day-Close,1,1,active,arff,916.0,2.0,916.0,2.0,12.0,1832.0,0.0,0.0,11.0,1.0,0.028000593185424805
-41898,41898,FOREX_audnzd-hour-Close,1,1,active,arff,22275.0,2.0,21550.0,2.0,12.0,43825.0,0.0,0.0,11.0,1.0,0.026999950408935547
-41899,41899,MultilingualDS,1,8876,active,ARFF,,,,,3.0,65428.0,0.0,0.0,0.0,0.0,0.03600573539733887
-41906,41906,Forex,2,8909,active,ARFF,,2.0,,,12.0,375840.0,0.0,0.0,11.0,1.0,0.03202009201049805
-41907,41907,branin,1,8911,active,ARFF,,,,,3.0,225.0,0.0,0.0,3.0,0.0,0.05265164375305176
-41919,41919,CPMP-2015-runtime-classification,1,8316,active,ARFF,208.0,4.0,78.0,4.0,23.0,527.0,0.0,0.0,22.0,1.0,0.053000450134277344
-41928,41928,CPMP-2015-runtime-regression,1,8316,active,ARFF,,4.0,,0.0,24.0,2108.0,0.0,0.0,23.0,1.0,0.06232619285583496
-41937,41937,exercises,1,8997,active,ARFF,,2.0,,,8.0,15000.0,0.0,0.0,7.0,1.0,0.055994510650634766
-41938,41938,MIP-2016-PAR10-regression,1,8316,active,ARFF,,5.0,,0.0,145.0,1090.0,0.0,0.0,144.0,1.0,0.07800173759460449
-41939,41939,MIP-2016-PAR10-classification,1,8316,active,ARFF,84.0,5.0,1.0,5.0,144.0,218.0,0.0,0.0,143.0,1.0,0.054033756256103516
-41940,41940,exercises,2,8997,active,ARFF,,2.0,,,8.0,15000.0,0.0,0.0,7.0,1.0,0.043967247009277344
-41943,41943,ilpd-numeric,1,8684,active,ARFF,,,,0.0,11.0,583.0,0.0,0.0,11.0,0.0,0.03675556182861328
-41944,41944,Sick_numeric,1,8684,active,ARFF,,,,,30.0,3772.0,0.0,0.0,30.0,0.0,0.04842066764831543
-41945,41945,ilpd-numeric,2,8684,active,ARFF,416.0,2.0,167.0,2.0,11.0,583.0,0.0,0.0,10.0,1.0,0.04237246513366699
-41946,41946,Sick_numeric,2,8684,active,ARFF,3541.0,2.0,231.0,2.0,30.0,3772.0,0.0,0.0,29.0,1.0,0.04903006553649902
-41949,41949,Elegibilidade,1,8998,active,ARFF,150572.0,2.0,118605.0,2.0,2.0,269177.0,0.0,0.0,0.0,1.0,0.6966080665588379
-41950,41950,iris_test_upload,1,4030,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.040329694747924805
-41952,41952,TaskCreationTestDataset,1,1159,active,arff,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.047003746032714844
-41953,41953,TaskCreationTestDataset,2,1159,active,arff,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.04096794128417969
-41960,41960,seattlecrime6,1,9035,active,ARFF,131297.0,144.0,1.0,144.0,8.0,523590.0,3615.0,6916.0,2.0,6.0,0.1329958438873291
-41961,41961,TaskCreationTestDataset,3,1159,active,arff,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03802895545959473
-41962,41962,TaskCreationTestDataset,4,1159,active,arff,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.039003849029541016
-41964,41964,USPS,3,9043,active,ARFF,716.0,2.0,708.0,2.0,257.0,1424.0,0.0,0.0,256.0,1.0,0.08200263977050781
-41966,41966,isolet,2,9043,active,ARFF,300.0,2.0,300.0,2.0,618.0,600.0,0.0,0.0,617.0,1.0,0.11717557907104492
-41967,41967,cnae-9,2,9043,active,ARFF,120.0,2.0,120.0,2.0,857.0,240.0,0.0,0.0,856.0,1.0,0.1060495376586914
-41968,41968,crimecommunitynums,1,9035,active,ARFF,,,,0.0,127.0,1994.0,1871.0,39202.0,127.0,0.0,0.06058049201965332
-41969,41969,crimecommunitynums2,1,9035,active,ARFF,,,,0.0,127.0,1994.0,0.0,0.0,127.0,0.0,0.06777834892272949
-41971,41971,1DUltrasoundMuscleContractionData,1,8996,active,ARFF,,,,,4.0,212872.0,0.0,0.0,3.0,0.0,7.829798221588135
-41972,41972,Indian_pines,1,9155,active,ARFF,4050.0,8.0,20.0,8.0,221.0,9144.0,0.0,0.0,220.0,1.0,0.09399867057800293
-41973,41973,semeion,2,9043,active,ARFF,161.0,2.0,158.0,2.0,257.0,319.0,0.0,0.0,256.0,1.0,0.05703926086425781
-41976,41976,TuningSVMs,1,64,active,ARFF,102.0,2.0,54.0,2.0,81.0,156.0,0.0,0.0,80.0,1.0,0.04999518394470215
-41977,41977,TuningSVMs,2,64,active,ARFF,98.0,2.0,58.0,2.0,91.0,156.0,0.0,0.0,90.0,1.0,0.05697488784790039
-41978,41978,TuningSVMs,3,64,active,ARFF,94.0,2.0,62.0,2.0,81.0,156.0,0.0,0.0,80.0,1.0,0.0590667724609375
-41980,41980,SAT11-HAND-runtime-regression,1,8316,active,ARFF,,15.0,,0.0,117.0,4440.0,2715.0,27150.0,116.0,1.0,0.1024324893951416
-41981,41981,SAT11-HAND-runtime-classification,1,8316,active,ARFF,91.0,14.0,1.0,14.0,116.0,296.0,181.0,1810.0,115.0,1.0,0.06158614158630371
-41982,41982,Kuzushiji-MNIST,1,86,active,arff,7000.0,10.0,7000.0,10.0,785.0,70000.0,0.0,0.0,784.0,1.0,1.1319365501403809
-41983,41983,CIFAR-100,1,86,active,arff,,,,,,,,,,,6.3300840854644775
-41986,41986,GTSRB-HOG01,1,86,active,arff,3000.0,43.0,270.0,43.0,1569.0,51839.0,0.0,0.0,1568.0,1.0,2.3441147804260254
-41988,41988,GTSRB-HOG02,1,86,active,arff,3000.0,43.0,270.0,43.0,1569.0,51839.0,0.0,0.0,1568.0,1.0,2.0514156818389893
-41989,41989,GTSRB-HOG03,1,86,active,arff,3000.0,43.0,270.0,43.0,2917.0,51839.0,0.0,0.0,2916.0,1.0,3.9657528400421143
-41990,41990,GTSRB-HueHist,1,86,active,arff,3000.0,43.0,270.0,43.0,257.0,51839.0,0.0,0.0,256.0,1.0,0.3390030860900879
-41991,41991,Kuzushiji-49,1,86,active,arff,7000.0,49.0,456.0,49.0,785.0,270912.0,0.0,0.0,784.0,1.0,3.650758743286133
-41996,41996,iris,15,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.04000568389892578
-41997,41997,iris,16,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03896760940551758
-41998,41998,Weather,10,3229,active,arff,9.0,3.0,5.0,2.0,5.0,14.0,0.0,0.0,2.0,3.0,0.038025856018066406
-42002,42002,iris,17,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.037001848220825195
-42003,42003,iris,18,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03700375556945801
-42004,42004,ID,1,9327,active,ARFF,,,,,10.0,1974675.0,1974675.0,1974675.0,9.0,0.0,0.4537174701690674
-42006,42006,WebEvaluationss,1,9327,active,ARFF,,,,,10.0,1974675.0,1974675.0,1974675.0,9.0,0.0,0.43051600456237793
-42010,42010,iris,19,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.04904055595397949
-42011,42011,iris,20,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03896164894104004
-42015,42015,iris,21,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03399920463562012
-42016,42016,iris,22,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03700137138366699
-42020,42020,iris,23,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03599882125854492
-42021,42021,iris,24,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03600001335144043
-42025,42025,iris,25,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.033998727798461914
-42026,42026,iris,26,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03403115272521973
-42030,42030,iris,27,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03500103950500488
-42031,42031,iris,28,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03600025177001953
-42035,42035,iris,29,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03399920463562012
-42036,42036,iris,30,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03499913215637207
-42040,42040,iris,31,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.036000967025756836
-42041,42041,iris,32,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03500056266784668
-42045,42045,iris,33,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.0370020866394043
-42046,42046,iris,34,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03699612617492676
-42050,42050,iris,35,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03500080108642578
-42051,42051,iris,36,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.034003496170043945
-42055,42055,iris,37,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03796958923339844
-42056,42056,iris,38,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.0340273380279541
-42057,42057,airquality,1,348,active,ARFF,,,,,,,,,,,0.08032035827636719
-42058,42058,airquality,2,348,active,ARFF,,,,,,,,,,,0.06805419921875
-42059,42059,airquality,3,348,active,ARFF,,,,,,,,,,,0.06605768203735352
-42060,42060,subsample_delays_zurich_transport,3,348,active,ARFF,,,,,,,,,,,0.06318235397338867
-42065,42065,iris,39,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03601789474487305
-42066,42066,iris,40,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.04199719429016113
-42070,42070,iris,41,348,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.03599882125854492
-42071,42071,iris,42,348,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.03696465492248535
-42072,42072,bot-iot-all-features,1,9177,active,ARFF,,,,,,,,,,,3.7704849243164062
-42074,42074,wine_reviews,1,3422,active,arff,,,,,10.0,150930.0,111689.0,174477.0,2.0,0.0,0.5169830322265625
-42076,42076,kickstarter_projects,1,3422,active,arff,,2.0,,,14.0,331675.0,210.0,210.0,6.0,1.0,1.0085020065307617
-42078,42078,beer_reviews,4,5332,active,arff,117586.0,,241.0,104.0,13.0,1586614.0,68136.0,68148.0,9.0,0.0,1.4817345142364502
-42079,42079,house_sales,1,3422,active,arff,,,,,20.0,21613.0,0.0,0.0,19.0,0.0,0.061490774154663086
-42080,42080,federal_election,1,3422,active,arff,,16607.0,,0.0,21.0,3348209.0,3346742.0,10786577.0,5.0,1.0,2170.0032126903534
-42087,42087,beer_reviews,5,5332,active,arff,117586.0,,241.0,104.0,13.0,1586614.0,68136.0,68148.0,9.0,0.0,2.809999942779541
-42088,42088,beer_reviews,6,5332,active,arff,117586.0,,241.0,104.0,13.0,1586614.0,68136.0,68148.0,9.0,0.0,2.1229968070983887
-42089,42089,vancouver_employee,1,5332,active,arff,117586.0,,241.0,104.0,13.0,1586614.0,68136.0,68148.0,9.0,0.0,1.487074375152588
-42090,42090,vancouver_employee,2,3422,active,arff,,,,,,,,,,,0.21700286865234375
-42091,42091,iris,43,9456,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.0480351448059082
-42092,42092,house_sales,2,3422,active,arff,,70.0,,0.0,20.0,21613.0,0.0,0.0,18.0,1.0,0.14796853065490723
-42093,42093,public_procurement,3,3422,active,arff,,,,,,,,,,,5.3700127601623535
-42097,42097,iris,44,7214,active,ARFF,,3.0,,,5.0,150.0,0.0,0.0,4.0,1.0,0.04103398323059082
-42098,42098,iris,45,7214,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.04496908187866211
-42099,42099,lotto,1,9480,active,ARFF,,1153.0,,,11.0,1153.0,0.0,0.0,10.0,1.0,0.05403327941894531
-42104,42104,adult_income_p,1,9558,active,ARFF,,41.0,,,17.0,48844.0,3622.0,6495.0,8.0,9.0,0.07197022438049316
-42105,42105,default_credit_card_p,1,9558,active,ARFF,,5.0,,,27.0,30000.0,0.0,0.0,24.0,3.0,0.06600046157836914
-42106,42106,uci_diabetes_p,1,9558,active,ARFF,,72.0,,,52.0,101766.0,100723.0,192849.0,16.0,33.0,0.18099212646484375
-42107,42107,hmeq_p,1,9558,active,ARFF,,6.0,,,15.0,5960.0,2596.0,5271.0,13.0,2.0,0.048999786376953125
-42108,42108,kaggle_santander_p,1,9558,active,ARFF,,1000.0,,,203.0,200000.0,0.0,0.0,202.0,1.0,0.7949974536895752
-42110,42110,S1,1,9479,active,ARFF,,,,0.0,3.0,5000.0,0.0,0.0,3.0,0.0,0.047003746032714844
-42111,42111,S2,1,9479,active,ARFF,,,,0.0,3.0,5000.0,0.0,0.0,3.0,0.0,0.043033599853515625
-42112,42112,S3,1,9479,active,ARFF,,,,0.0,3.0,5000.0,0.0,0.0,3.0,0.0,0.04296398162841797
-42113,42113,S4,1,9479,active,ARFF,,,,0.0,3.0,5000.0,0.0,0.0,3.0,0.0,0.04700756072998047
-42118,42118,public_procurement,4,3422,active,arff,,,,,,,,,,,5.0463690757751465
-42121,42121,colleges,9,3422,active,arff,,,,,,,,,,,0.20591139793395996
-42123,42123,article_influence,2,3422,active,arff,32.0,3169.0,1.0,3169.0,7.0,3615.0,12.0,48.0,5.0,1.0,0.07700061798095703
-42125,42125,employee_salaries,14,5332,active,arff,,37.0,,0.0,13.0,9228.0,8380.0,11169.0,4.0,4.0,0.07299923896789551
-42130,42130,medical_charges,5,3422,active,arff,,100.0,,0.0,12.0,163065.0,0.0,0.0,6.0,2.0,0.23964953422546387
-42131,42131,medical_charges,6,3422,active,arff,,100.0,,0.0,12.0,163065.0,0.0,0.0,6.0,2.0,0.24128961563110352
-42132,42132,Traffic_violations,4,5332,active,arff,789812.0,33.0,899.0,4.0,43.0,1578154.0,1532400.0,8006541.0,3.0,5.0,9653.258719444275
-42133,42133,cacao_flavor,3,3422,active,arff,887.0,,1.0,42.0,9.0,1795.0,0.0,1.0,3.0,0.0,0.31600046157836914
-42134,42134,colleges,10,3422,active,arff,,,,,,,,,,,0.9279909133911133
-42136,42136,la_crimes,2,5332,active,arff,,,,,,,,,,,3.0299689769744873
-42139,42139,public_procurement,5,3422,active,arff,,,,,,,,,,,6.013195991516113
-42140,42140,SVHN_small,1,2,active,arff,1896.0,10.0,625.0,10.0,3073.0,9927.0,0.0,0.0,3072.0,1.0,1.0545849800109863
-42141,42141,SVHN_medium,1,2,active,arff,9480.0,10.0,3127.0,10.0,3073.0,49644.0,0.0,0.0,3072.0,1.0,4.238118410110474
-42143,42143,nfl_games,1,9920,active,ARFF,,3386.0,,,12.0,16274.0,0.0,0.0,8.0,4.0,0.10099267959594727
-42159,42159,colleges,11,3422,active,arff,,6039.0,,0.0,50.0,7063.0,7063.0,125494.0,33.0,6.0,0.15803313255310059
-42160,42160,la_crimes,3,5332,active,arff,,210.0,,0.0,26.0,1468825.0,1468811.0,7881776.0,12.0,7.0,2.870387315750122
-42163,42163,public_procurement,6,3422,active,arff,,,,0.0,75.0,565163.0,565163.0,15247061.0,27.0,0.0,5.031177997589111
-42164,42164,dating_profile,1,3422,active,arff,,,,0.0,31.0,59946.0,55542.0,273249.0,3.0,0.0,1.6159706115722656
-42165,42165,house_prices,1,3422,active,arff,,,,0.0,81.0,1460.0,1460.0,6965.0,38.0,0.0,0.0709981918334961
-42166,42166,cacao_flavor,4,3422,active,arff,887.0,,1.0,41.0,9.0,1794.0,0.0,0.0,3.0,0.0,0.05500006675720215
-42167,42167,stress,1,4030,active,ARFF,159.0,5.0,3.0,3.0,13.0,202.0,172.0,202.0,8.0,5.0,0.04913830757141113
-42169,42169,epiparo_extract,1,4030,active,ARFF,123.0,5.0,1.0,6.0,20.0,224.0,143.0,205.0,9.0,11.0,0.05903768539428711
-42172,42172,regime_alimentaire,1,4030,active,ARFF,161.0,7.0,41.0,2.0,20.0,202.0,17.0,17.0,3.0,17.0,0.05703544616699219
-42175,42175,CreditCardFraudDetection,1,1140,active,arff,,,,0.0,31.0,284807.0,0.0,0.0,31.0,0.0,0.22099089622497559
-42176,42176,parkinson-speech-uci,1,1140,active,arff,,,,0.0,754.0,756.0,0.0,0.0,754.0,0.0,0.15414023399353027
-42177,42177,echocardiogram-uci,1,1140,active,arff,57.0,,1.0,4.0,8.0,132.0,25.0,103.0,1.0,0.0,0.05640435218811035
-42178,42178,telco-customer-churn,1,1140,active,arff,5174.0,,1869.0,2.0,20.0,7043.0,0.0,0.0,3.0,0.0,0.0920095443725586
-42182,42182,Lorenz_attractor_regime_changes,1,10283,active,ARFF,,,,,4.0,4942.0,0.0,0.0,4.0,0.0,0.048278093338012695
-42183,42183,dataset_sales,1,10333,active,ARFF,,,,0.0,15.0,10738.0,0.0,0.0,15.0,0.0,0.05102729797363281
-42184,42184,Wine,3,10351,active,ARFF,,,,,12.0,1599.0,0.0,0.0,12.0,0.0,0.04796957969665527
-42186,42186,JuanFeldmanIris,1,10443,active,ARFF,50.0,3.0,50.0,3.0,5.0,150.0,0.0,0.0,4.0,1.0,0.05124211311340332
diff --git a/df_feather.pkl b/df_feather.pkl
deleted file mode 100644
index ce2f2d173d62dd3da8ff0bc211e1c033855df0cd..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 8618907f1..57440fc88 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -438,7 +438,7 @@ def _create_pickle_in_cache(self, data_file: str) -> str:
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
-        if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix: # and X.shape[1] <= 1000:
+        if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix:
             print("feather write")
             feather.write_feather(X, data_feather_file)
             with open(data_pickle_file, "wb") as fh:
@@ -462,7 +462,8 @@ def _load_data(self):
         if self.data_pickle_file is None:
             if self.data_file is None:
                 self._download_data()
-            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(self.data_file)
+            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(
+                self.data_file)
 
         try:
             if os.path.exists(self.data_feather_file):
diff --git a/test_arrow.ipynb b/test_arrow.ipynb
deleted file mode 100644
index 1ec54e6a9..000000000
--- a/test_arrow.ipynb
+++ /dev/null
@@ -1,17817 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import pyarrow as pa\n",
-    "import pyarrow.feather as feather\n",
-    "import pyarrow.parquet as parquet\n",
-    "from openml import datasets, study\n",
-    "import time\n",
-    "import pickle"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "list_datasets = datasets.list_datasets(output_format=\"dataframe\")\n",
-    "list_datasets_feats = list_datasets.sort_values(by=\"NumberOfFeatures\", ascending=False)[:500]\n",
-    "#list_datasets_ins = list_datasets.sort_values(by=\"NumberOfInstances\", ascending=False)[1:5]\n",
-    "list_datasets = list_datasets_feats"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "most_instances = list_datasets[\"did\"].values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
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-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
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-     ]
-    }
-   ],
-   "source": [
-    "writef = []\n",
-    "readf = []\n",
-    "size = []\n",
-    "for did in most_instances:\n",
-    "    print(did)\n",
-    "    data = datasets.get_dataset(int(did))\n",
-    "    x, y, categorical, attribute_names = data.get_data()\n",
-    "    df = pd.DataFrame(x, columns=attribute_names)\n",
-    "    start = time.time()\n",
-    "    try:\n",
-    "        feather.write_feather(df, 'example_feather')\n",
-    "    except:\n",
-    "        pass\n",
-    "    end = time.time()\n",
-    "    writef.append(end-start)\n",
-    "    start = time.time()\n",
-    "    try:\n",
-    "        feather.read_feather('example_feather')\n",
-    "    except:\n",
-    "        pass\n",
-    "    end = time.time()\n",
-    "    readf.append(end-start)\n",
-    "    size.append(df.memory_usage(index=True).sum() * 1e-9)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1085\n",
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-      "feather load data\n",
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
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-     ]
-    },
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-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-     ]
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-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "383\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "384\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "feather load data\n",
-      "1434\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1233\n",
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-      "pickle load data\n",
-      "388\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "397\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "41026\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "feather load data\n",
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-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "392\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "386\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "feather load data\n",
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-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4139\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
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-      "40590\n",
-      "load data\n",
-      "feather load data\n",
-      "41466\n",
-      "load data\n",
-      "feather load data\n",
-      "3498\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3497\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3504\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3496\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3499\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3495\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3500\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3501\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3502\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3503\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3494\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3509\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3507\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3505\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3506\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3519\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3510\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3518\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3517\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3508\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3516\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3515\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3514\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3513\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3512\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3493\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3511\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3244\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3492\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3491\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3419\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3420\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3421\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3422\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3423\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3424\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3425\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3426\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3427\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3428\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3429\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3430\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3431\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3432\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3433\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3434\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3435\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3436\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3437\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3438\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3439\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3418\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3417\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3416\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3404\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3395\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3396\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3397\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3398\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3399\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3400\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3401\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3402\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3403\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3405\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3415\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3406\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3407\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3408\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3409\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3410\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3411\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3412\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3413\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3414\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3440\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3441\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3442\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3479\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3469\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3470\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3471\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3472\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3474\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3475\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3476\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3477\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3478\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3480\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3467\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3481\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3482\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3483\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3485\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3486\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3487\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3488\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3489\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3490\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3468\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3466\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3443\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3454\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3444\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3445\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3447\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3448\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3449\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3450\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3451\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3452\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3453\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3455\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3465\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3456\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3457\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3458\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3459\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3460\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3461\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3462\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3463\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3464\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3484\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3556\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3520\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3616\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3618\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3619\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3620\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3621\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3622\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3623\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3624\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3625\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3626\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3627\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3628\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3629\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3630\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3631\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3632\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3617\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3615\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3634\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3614\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3599\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3600\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3601\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3602\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3603\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3604\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3605\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3606\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3607\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3608\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3609\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3610\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3611\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3612\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3613\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3633\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3635\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3597\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3654\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3656\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3657\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3658\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3659\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3660\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3661\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3662\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3353\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3664\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3665\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3666\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3667\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3668\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3669\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3670\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3655\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3653\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3636\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3652\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3637\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3638\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3639\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3640\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3641\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3642\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3643\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3644\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3645\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3646\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3647\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3648\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3649\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3650\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3651\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3598\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3596\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3521\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3539\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3541\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3542\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3543\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3544\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3545\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3546\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3547\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3548\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3549\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3550\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3551\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3552\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3553\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3554\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3555\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3540\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3538\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3558\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3537\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3522\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3523\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3524\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3525\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3526\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3527\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3528\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3529\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3530\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3531\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3532\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3533\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3534\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3535\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3536\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3393\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3559\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3595\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3578\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3580\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3581\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3582\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3583\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3584\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3585\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3586\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3587\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3588\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3589\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3590\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3591\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3592\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3593\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3594\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3579\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3577\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3560\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3576\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3561\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3562\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3563\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3564\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3565\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3566\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3567\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3568\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3569\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3570\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3571\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3572\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3573\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3574\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3575\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3394\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3355\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3392\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3233\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3241\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3240\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3239\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3238\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3237\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3236\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3235\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3234\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3232\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3243\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3231\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3230\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3229\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3228\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3227\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3226\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3225\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3224\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3242\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3354\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3265\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3255\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3263\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3262\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3261\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3260\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3259\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3258\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3257\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3256\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3254\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3245\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3253\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3252\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3251\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3250\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3249\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3248\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3247\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3246\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3223\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3222\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3221\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3190\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3198\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3197\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3196\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3195\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3194\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3193\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3192\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3191\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3189\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3220\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3188\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3187\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3186\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3185\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3184\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3183\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3182\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3181\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3199\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3200\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3201\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3202\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3219\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3218\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3217\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3216\n",
-      "load data\n",
-      "pickle load data\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Desktop\\TUE\\work\\openml-python\\openml\\datasets\\dataset.py:544: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.\n",
-      "Use a regular DataFrame whose columns are SparseArrays instead.\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  return pd.SparseDataFrame(data, columns=attribute_names)\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:257: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  sparse_index=BlockIndex(N, blocs, blens),\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\pandas\\core\\sparse\\frame.py:269: FutureWarning: SparseSeries is deprecated and will be removed in a future version.\n",
-      "Use a Series with sparse values instead.\n",
-      "\n",
-      "    >>> series = pd.Series(pd.SparseArray(...))\n",
-      "\n",
-      "See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.\n",
-      "\n",
-      "  if column not in sdict\n"
-     ]
-    }
-   ],
-   "source": [
-    "writep = []\n",
-    "readp = []\n",
-    "for did in most_instances:\n",
-    "    print(did)\n",
-    "    data = datasets.get_dataset(int(did))\n",
-    "    x, y, categorical, attribute_names = data.get_data()\n",
-    "    df = pd.DataFrame(x, columns=attribute_names)\n",
-    "    start = time.time()\n",
-    "    df.to_pickle(\"example_pickle.pkl\") \n",
-    "    end = time.time()\n",
-    "    writep.append(end-start)\n",
-    "    start = time.time()\n",
-    "    pd.read_pickle(\"example_pickle.pkl\")\n",
-    "    end = time.time()\n",
-    "    readp.append(end-start)\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  after removing the cwd from sys.path.\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"\n",
-      "C:\\Users\\Ponnivalavan Kumar\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
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-       "      <th>1088</th>\n",
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-       "      <td>383.0</td>\n",
-       "      <td>11.579995</td>\n",
-       "      <td>0.912687</td>\n",
-       "      <td>0.918777</td>\n",
-       "      <td>0.438318</td>\n",
-       "      <td>0.167525</td>\n",
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-       "      <th>1086</th>\n",
-       "      <td>1086</td>\n",
-       "      <td>ovarianTumour</td>\n",
-       "      <td>54622.0</td>\n",
-       "      <td>283.0</td>\n",
-       "      <td>13.117118</td>\n",
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-       "      <td>0.793143</td>\n",
-       "      <td>0.288986</td>\n",
-       "      <td>0.123662</td>\n",
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-       "      <th>1087</th>\n",
-       "      <td>1087</td>\n",
-       "      <td>hepatitisC</td>\n",
-       "      <td>54622.0</td>\n",
-       "      <td>283.0</td>\n",
-       "      <td>11.576992</td>\n",
-       "      <td>1.043964</td>\n",
-       "      <td>0.816065</td>\n",
-       "      <td>0.322503</td>\n",
-       "      <td>0.123662</td>\n",
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-       "    <tr>\n",
-       "      <th>1081</th>\n",
-       "      <td>1081</td>\n",
-       "      <td>rsctc2010_5</td>\n",
-       "      <td>54614.0</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>10.927053</td>\n",
-       "      <td>1.093168</td>\n",
-       "      <td>0.263551</td>\n",
-       "      <td>0.130561</td>\n",
-       "      <td>0.038885</td>\n",
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-       "    <tr>\n",
-       "      <th>1577</th>\n",
-       "      <td>1577</td>\n",
-       "      <td>rcv1.binary</td>\n",
-       "      <td>47237.0</td>\n",
-       "      <td>697641.0</td>\n",
-       "      <td>4.042020</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>9.349011</td>\n",
-       "      <td>11.807600</td>\n",
-       "      <td>0.564009</td>\n",
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-       "    <tr>\n",
-       "      <th>1083</th>\n",
-       "      <td>1083</td>\n",
-       "      <td>mouseType</td>\n",
-       "      <td>45102.0</td>\n",
-       "      <td>214.0</td>\n",
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-       "      <td>0.597605</td>\n",
-       "      <td>0.460317</td>\n",
-       "      <td>0.203387</td>\n",
-       "      <td>0.077213</td>\n",
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-       "    <tr>\n",
-       "      <th>41103</th>\n",
-       "      <td>41103</td>\n",
-       "      <td>STL-10</td>\n",
-       "      <td>27649.0</td>\n",
-       "      <td>13000.0</td>\n",
-       "      <td>35.433950</td>\n",
-       "      <td>19.312334</td>\n",
-       "      <td>33.060623</td>\n",
-       "      <td>6.328586</td>\n",
-       "      <td>2.875406</td>\n",
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-       "    <tr>\n",
-       "      <th>390</th>\n",
-       "      <td>390</td>\n",
-       "      <td>new3s.wc</td>\n",
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-       "      <td>9558.0</td>\n",
-       "      <td>2.567838</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>3.114820</td>\n",
-       "      <td>6.382907</td>\n",
-       "      <td>0.022788</td>\n",
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-       "    <tr>\n",
-       "      <th>1077</th>\n",
-       "      <td>1077</td>\n",
-       "      <td>rsctc2010_1</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>105.0</td>\n",
-       "      <td>2.015206</td>\n",
-       "      <td>0.196756</td>\n",
-       "      <td>0.083531</td>\n",
-       "      <td>0.052748</td>\n",
-       "      <td>0.018718</td>\n",
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-       "    <tr>\n",
-       "      <th>1078</th>\n",
-       "      <td>1078</td>\n",
-       "      <td>rsctc2010_2</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>105.0</td>\n",
-       "      <td>2.199638</td>\n",
-       "      <td>0.191459</td>\n",
-       "      <td>0.076184</td>\n",
-       "      <td>0.056614</td>\n",
-       "      <td>0.018718</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1084</th>\n",
-       "      <td>1084</td>\n",
-       "      <td>BurkittLymphoma</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>220.0</td>\n",
-       "      <td>2.209066</td>\n",
-       "      <td>0.249941</td>\n",
-       "      <td>0.289112</td>\n",
-       "      <td>0.100466</td>\n",
-       "      <td>0.039218</td>\n",
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-       "    <tr>\n",
-       "      <th>1079</th>\n",
-       "      <td>1079</td>\n",
-       "      <td>rsctc2010_3</td>\n",
-       "      <td>22278.0</td>\n",
-       "      <td>95.0</td>\n",
-       "      <td>2.032667</td>\n",
-       "      <td>0.234316</td>\n",
-       "      <td>0.114343</td>\n",
-       "      <td>0.085606</td>\n",
-       "      <td>0.016931</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1578</th>\n",
-       "      <td>1578</td>\n",
-       "      <td>real-sim</td>\n",
-       "      <td>20959.0</td>\n",
-       "      <td>72309.0</td>\n",
-       "      <td>1.202837</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>2.187824</td>\n",
-       "      <td>4.926733</td>\n",
-       "      <td>0.042284</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4136</th>\n",
-       "      <td>4136</td>\n",
-       "      <td>Dexter</td>\n",
-       "      <td>20001.0</td>\n",
-       "      <td>600.0</td>\n",
-       "      <td>1.574929</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.664943</td>\n",
-       "      <td>4.184410</td>\n",
-       "      <td>0.000626</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1106</th>\n",
-       "      <td>1106</td>\n",
-       "      <td>GCM</td>\n",
-       "      <td>16064.0</td>\n",
-       "      <td>190.0</td>\n",
-       "      <td>1.499025</td>\n",
-       "      <td>0.171833</td>\n",
-       "      <td>0.130881</td>\n",
-       "      <td>0.073684</td>\n",
-       "      <td>0.024416</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>396</th>\n",
-       "      <td>396</td>\n",
-       "      <td>la1s.wc</td>\n",
-       "      <td>13196.0</td>\n",
-       "      <td>3204.0</td>\n",
-       "      <td>0.774332</td>\n",
-       "      <td>0.015620</td>\n",
-       "      <td>1.057160</td>\n",
-       "      <td>2.702462</td>\n",
-       "      <td>0.005028</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>393</th>\n",
-       "      <td>393</td>\n",
-       "      <td>la2s.wc</td>\n",
-       "      <td>12433.0</td>\n",
-       "      <td>3075.0</td>\n",
-       "      <td>0.526538</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.925833</td>\n",
-       "      <td>2.532233</td>\n",
-       "      <td>0.004828</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>399</th>\n",
-       "      <td>399</td>\n",
-       "      <td>ohscal.wc</td>\n",
-       "      <td>11466.0</td>\n",
-       "      <td>11162.0</td>\n",
-       "      <td>0.737738</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.107867</td>\n",
-       "      <td>2.669233</td>\n",
-       "      <td>0.007599</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1141</th>\n",
-       "      <td>1141</td>\n",
-       "      <td>AP_Endometrium_Prostate</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>130.0</td>\n",
-       "      <td>0.923324</td>\n",
-       "      <td>0.090726</td>\n",
-       "      <td>0.045044</td>\n",
-       "      <td>0.038164</td>\n",
-       "      <td>0.011373</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1122</th>\n",
-       "      <td>1122</td>\n",
-       "      <td>AP_Breast_Prostate</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>413.0</td>\n",
-       "      <td>1.022036</td>\n",
-       "      <td>0.093558</td>\n",
-       "      <td>0.195529</td>\n",
-       "      <td>0.095284</td>\n",
-       "      <td>0.036130</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1123</th>\n",
-       "      <td>1123</td>\n",
-       "      <td>AP_Endometrium_Breast</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>405.0</td>\n",
-       "      <td>1.091773</td>\n",
-       "      <td>0.111672</td>\n",
-       "      <td>0.198477</td>\n",
-       "      <td>0.105013</td>\n",
-       "      <td>0.035430</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1124</th>\n",
-       "      <td>1124</td>\n",
-       "      <td>AP_Omentum_Uterus</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>201.0</td>\n",
-       "      <td>0.878242</td>\n",
-       "      <td>0.109384</td>\n",
-       "      <td>0.072191</td>\n",
-       "      <td>0.051587</td>\n",
-       "      <td>0.017584</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1125</th>\n",
-       "      <td>1125</td>\n",
-       "      <td>AP_Omentum_Prostate</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>146.0</td>\n",
-       "      <td>1.042458</td>\n",
-       "      <td>0.086766</td>\n",
-       "      <td>0.053558</td>\n",
-       "      <td>0.046809</td>\n",
-       "      <td>0.012772</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1142</th>\n",
-       "      <td>1142</td>\n",
-       "      <td>OVA_Endometrium</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>1545.0</td>\n",
-       "      <td>1.152615</td>\n",
-       "      <td>0.176497</td>\n",
-       "      <td>1.134826</td>\n",
-       "      <td>0.345709</td>\n",
-       "      <td>0.135158</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1143</th>\n",
-       "      <td>1143</td>\n",
-       "      <td>AP_Colon_Omentum</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>363.0</td>\n",
-       "      <td>1.049377</td>\n",
-       "      <td>0.156213</td>\n",
-       "      <td>0.171288</td>\n",
-       "      <td>0.076372</td>\n",
-       "      <td>0.031756</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3223</th>\n",
-       "      <td>3223</td>\n",
-       "      <td>QSAR-TID-11774</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>0.062522</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.145962</td>\n",
-       "      <td>0.387241</td>\n",
-       "      <td>0.000004</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3222</th>\n",
-       "      <td>3222</td>\n",
-       "      <td>QSAR-TID-10839</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1891.0</td>\n",
-       "      <td>0.062495</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.068931</td>\n",
-       "      <td>0.168870</td>\n",
-       "      <td>0.000961</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3221</th>\n",
-       "      <td>3221</td>\n",
-       "      <td>QSAR-TID-17120</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>731.0</td>\n",
-       "      <td>0.089807</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.077807</td>\n",
-       "      <td>0.223800</td>\n",
-       "      <td>0.000364</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3190</th>\n",
-       "      <td>3190</td>\n",
-       "      <td>QSAR-TID-101548</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>66.0</td>\n",
-       "      <td>0.078790</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.102581</td>\n",
-       "      <td>0.184188</td>\n",
-       "      <td>0.000028</td>\n",
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-       "    <tr>\n",
-       "      <th>3198</th>\n",
-       "      <td>3198</td>\n",
-       "      <td>QSAR-TID-10074</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>377.0</td>\n",
-       "      <td>0.078108</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.071069</td>\n",
-       "      <td>0.314785</td>\n",
-       "      <td>0.000148</td>\n",
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-       "    <tr>\n",
-       "      <th>3197</th>\n",
-       "      <td>3197</td>\n",
-       "      <td>QSAR-TID-10918</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1238.0</td>\n",
-       "      <td>0.074803</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.068775</td>\n",
-       "      <td>0.166998</td>\n",
-       "      <td>0.000636</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3196</th>\n",
-       "      <td>3196</td>\n",
-       "      <td>QSAR-TID-102</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>534.0</td>\n",
-       "      <td>0.078110</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.071907</td>\n",
-       "      <td>0.185044</td>\n",
-       "      <td>0.000211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3195</th>\n",
-       "      <td>3195</td>\n",
-       "      <td>QSAR-TID-100857</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>319.0</td>\n",
-       "      <td>0.156213</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.085546</td>\n",
-       "      <td>0.263732</td>\n",
-       "      <td>0.000111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3194</th>\n",
-       "      <td>3194</td>\n",
-       "      <td>QSAR-TID-101239</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>0.078140</td>\n",
-       "      <td>0.015591</td>\n",
-       "      <td>0.072057</td>\n",
-       "      <td>0.232713</td>\n",
-       "      <td>0.000055</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3193</th>\n",
-       "      <td>3193</td>\n",
-       "      <td>QSAR-TID-10188</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>3889.0</td>\n",
-       "      <td>0.072806</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.078923</td>\n",
-       "      <td>0.170944</td>\n",
-       "      <td>0.001705</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3192</th>\n",
-       "      <td>3192</td>\n",
-       "      <td>QSAR-TID-102807</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>0.078134</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.092079</td>\n",
-       "      <td>0.203994</td>\n",
-       "      <td>0.000008</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3191</th>\n",
-       "      <td>3191</td>\n",
-       "      <td>QSAR-TID-11403</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>0.078110</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.179424</td>\n",
-       "      <td>0.168180</td>\n",
-       "      <td>0.000007</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3189</th>\n",
-       "      <td>3189</td>\n",
-       "      <td>QSAR-TID-101356</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>58.0</td>\n",
-       "      <td>0.072798</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.084761</td>\n",
-       "      <td>0.233320</td>\n",
-       "      <td>0.000025</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3220</th>\n",
-       "      <td>3220</td>\n",
-       "      <td>QSAR-TID-20151</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1427.0</td>\n",
-       "      <td>0.154588</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.084375</td>\n",
-       "      <td>0.418877</td>\n",
-       "      <td>0.000519</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3188</th>\n",
-       "      <td>3188</td>\n",
-       "      <td>QSAR-TID-100483</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>0.072802</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.064271</td>\n",
-       "      <td>0.172854</td>\n",
-       "      <td>0.000008</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3187</th>\n",
-       "      <td>3187</td>\n",
-       "      <td>QSAR-TID-266</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>137.0</td>\n",
-       "      <td>0.078110</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.084410</td>\n",
-       "      <td>0.188985</td>\n",
-       "      <td>0.000045</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3186</th>\n",
-       "      <td>3186</td>\n",
-       "      <td>QSAR-TID-100120</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>0.083315</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.118801</td>\n",
-       "      <td>0.218797</td>\n",
-       "      <td>0.000006</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3185</th>\n",
-       "      <td>3185</td>\n",
-       "      <td>QSAR-TID-11755</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1089.0</td>\n",
-       "      <td>0.076791</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.065748</td>\n",
-       "      <td>0.344936</td>\n",
-       "      <td>0.000631</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3184</th>\n",
-       "      <td>3184</td>\n",
-       "      <td>QSAR-TID-10116</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>399.0</td>\n",
-       "      <td>0.073792</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.151614</td>\n",
-       "      <td>0.306726</td>\n",
-       "      <td>0.000145</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3183</th>\n",
-       "      <td>3183</td>\n",
-       "      <td>QSAR-TID-30008</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>837.0</td>\n",
-       "      <td>0.072806</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.079927</td>\n",
-       "      <td>0.174682</td>\n",
-       "      <td>0.000484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3182</th>\n",
-       "      <td>3182</td>\n",
-       "      <td>QSAR-TID-10266</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1932.0</td>\n",
-       "      <td>0.195481</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.160522</td>\n",
-       "      <td>0.198708</td>\n",
-       "      <td>0.000985</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3181</th>\n",
-       "      <td>3181</td>\n",
-       "      <td>QSAR-TID-133</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>3151.0</td>\n",
-       "      <td>0.460788</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.139045</td>\n",
-       "      <td>0.196701</td>\n",
-       "      <td>0.001219</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3199</th>\n",
-       "      <td>3199</td>\n",
-       "      <td>QSAR-TID-30045</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>655.0</td>\n",
-       "      <td>0.229889</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.155643</td>\n",
-       "      <td>0.385838</td>\n",
-       "      <td>0.000392</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3200</th>\n",
-       "      <td>3200</td>\n",
-       "      <td>QSAR-TID-100843</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>16.0</td>\n",
-       "      <td>0.195300</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.070018</td>\n",
-       "      <td>0.208179</td>\n",
-       "      <td>0.000007</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3201</th>\n",
-       "      <td>3201</td>\n",
-       "      <td>QSAR-TID-11631</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>1255.0</td>\n",
-       "      <td>0.176769</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.075767</td>\n",
-       "      <td>0.178395</td>\n",
-       "      <td>0.000476</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3202</th>\n",
-       "      <td>3202</td>\n",
-       "      <td>QSAR-TID-10280</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>3134.0</td>\n",
-       "      <td>0.163376</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.071905</td>\n",
-       "      <td>0.195066</td>\n",
-       "      <td>0.001119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3219</th>\n",
-       "      <td>3219</td>\n",
-       "      <td>QSAR-TID-103456</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>73.0</td>\n",
-       "      <td>0.320212</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.134012</td>\n",
-       "      <td>0.196365</td>\n",
-       "      <td>0.000051</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3218</th>\n",
-       "      <td>3218</td>\n",
-       "      <td>QSAR-TID-30021</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>92.0</td>\n",
-       "      <td>0.142531</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.070854</td>\n",
-       "      <td>0.249661</td>\n",
-       "      <td>0.000062</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3217</th>\n",
-       "      <td>3217</td>\n",
-       "      <td>QSAR-TID-278</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>2256.0</td>\n",
-       "      <td>0.145134</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.082785</td>\n",
-       "      <td>0.244533</td>\n",
-       "      <td>0.000951</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3216</th>\n",
-       "      <td>3216</td>\n",
-       "      <td>QSAR-TID-11414</td>\n",
-       "      <td>1026.0</td>\n",
-       "      <td>61.0</td>\n",
-       "      <td>0.141635</td>\n",
-       "      <td>0.000990</td>\n",
-       "      <td>0.077283</td>\n",
-       "      <td>0.184117</td>\n",
-       "      <td>0.000030</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>500 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       did                             name  NumberOfFeatures  \\\n",
-       "4137  4137                         Dorothea          100001.0   \n",
-       "1594  1594                           news20           62062.0   \n",
-       "1085  1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
-       "1082  1082                      rsctc2010_6           59005.0   \n",
-       "1080  1080                      rsctc2010_4           54676.0   \n",
-       "...    ...                              ...               ...   \n",
-       "3202  3202                   QSAR-TID-10280            1026.0   \n",
-       "3219  3219                  QSAR-TID-103456            1026.0   \n",
-       "3218  3218                   QSAR-TID-30021            1026.0   \n",
-       "3217  3217                     QSAR-TID-278            1026.0   \n",
-       "3216  3216                   QSAR-TID-11414            1026.0   \n",
-       "\n",
-       "      NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
-       "4137             1150.0      9.358307     0.000000    10.119105   20.122900   \n",
-       "1594            19928.0      5.594421     0.000000     5.646128   13.224880   \n",
-       "1085              159.0     10.157905     1.077166     0.527552    0.198696   \n",
-       "1082               92.0     10.280048     0.794739     0.289215    0.118081   \n",
-       "1080              113.0     10.228626     0.788161     0.330797    0.144224   \n",
-       "...                 ...           ...          ...          ...         ...   \n",
-       "3202             3134.0      0.163376     0.000000     0.071905    0.195066   \n",
-       "3219               73.0      0.320212     0.000000     0.134012    0.196365   \n",
-       "3218               92.0      0.142531     0.000000     0.070854    0.249661   \n",
-       "3217             2256.0      0.145134     0.000000     0.082785    0.244533   \n",
-       "3216               61.0      0.141635     0.000990     0.077283    0.184117   \n",
-       "\n",
-       "      memoryusage(GB)  \n",
-       "4137         0.012360  \n",
-       "1594         0.018786  \n",
-       "1085         0.078049  \n",
-       "1082         0.043427  \n",
-       "1080         0.049426  \n",
-       "...               ...  \n",
-       "3202         0.001119  \n",
-       "3219         0.000051  \n",
-       "3218         0.000062  \n",
-       "3217         0.000951  \n",
-       "3216         0.000030  \n",
-       "\n",
-       "[500 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "list_datasets = list_datasets[[\"did\", \"name\", \"NumberOfFeatures\", \"NumberOfInstances\"]]\n",
-    "list_datasets[\"featherwrite\"] = writef\n",
-    "list_datasets[\"featherread\"] = readf\n",
-    "list_datasets[\"picklewrite\"] = writep\n",
-    "list_datasets[\"pickleread\"] = readp\n",
-    "list_datasets[\"memoryusage(GB)\"] = size\n",
-    "list_datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>did</th>\n",
-       "      <th>name</th>\n",
-       "      <th>NumberOfFeatures</th>\n",
-       "      <th>NumberOfInstances</th>\n",
-       "      <th>featherwrite</th>\n",
-       "      <th>featherread</th>\n",
-       "      <th>picklewrite</th>\n",
-       "      <th>pickleread</th>\n",
-       "      <th>memoryusage(GB)</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1085</th>\n",
-       "      <td>1085</td>\n",
-       "      <td>anthracyclineTaxaneChemotherapy</td>\n",
-       "      <td>61360.0</td>\n",
-       "      <td>159.0</td>\n",
-       "      <td>10.157905</td>\n",
-       "      <td>1.077166</td>\n",
-       "      <td>0.527552</td>\n",
-       "      <td>0.198696</td>\n",
-       "      <td>0.078049</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1082</th>\n",
-       "      <td>1082</td>\n",
-       "      <td>rsctc2010_6</td>\n",
-       "      <td>59005.0</td>\n",
-       "      <td>92.0</td>\n",
-       "      <td>10.280048</td>\n",
-       "      <td>0.794739</td>\n",
-       "      <td>0.289215</td>\n",
-       "      <td>0.118081</td>\n",
-       "      <td>0.043427</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1080</th>\n",
-       "      <td>1080</td>\n",
-       "      <td>rsctc2010_4</td>\n",
-       "      <td>54676.0</td>\n",
-       "      <td>113.0</td>\n",
-       "      <td>10.228626</td>\n",
-       "      <td>0.788161</td>\n",
-       "      <td>0.330797</td>\n",
-       "      <td>0.144224</td>\n",
-       "      <td>0.049426</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1088</th>\n",
-       "      <td>1088</td>\n",
-       "      <td>variousCancers_final</td>\n",
-       "      <td>54676.0</td>\n",
-       "      <td>383.0</td>\n",
-       "      <td>11.579995</td>\n",
-       "      <td>0.912687</td>\n",
-       "      <td>0.918777</td>\n",
-       "      <td>0.438318</td>\n",
-       "      <td>0.167525</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1086</th>\n",
-       "      <td>1086</td>\n",
-       "      <td>ovarianTumour</td>\n",
-       "      <td>54622.0</td>\n",
-       "      <td>283.0</td>\n",
-       "      <td>13.117118</td>\n",
-       "      <td>0.953524</td>\n",
-       "      <td>0.793143</td>\n",
-       "      <td>0.288986</td>\n",
-       "      <td>0.123662</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1087</th>\n",
-       "      <td>1087</td>\n",
-       "      <td>hepatitisC</td>\n",
-       "      <td>54622.0</td>\n",
-       "      <td>283.0</td>\n",
-       "      <td>11.576992</td>\n",
-       "      <td>1.043964</td>\n",
-       "      <td>0.816065</td>\n",
-       "      <td>0.322503</td>\n",
-       "      <td>0.123662</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1081</th>\n",
-       "      <td>1081</td>\n",
-       "      <td>rsctc2010_5</td>\n",
-       "      <td>54614.0</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>10.927053</td>\n",
-       "      <td>1.093168</td>\n",
-       "      <td>0.263551</td>\n",
-       "      <td>0.130561</td>\n",
-       "      <td>0.038885</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1083</th>\n",
-       "      <td>1083</td>\n",
-       "      <td>mouseType</td>\n",
-       "      <td>45102.0</td>\n",
-       "      <td>214.0</td>\n",
-       "      <td>8.043539</td>\n",
-       "      <td>0.597605</td>\n",
-       "      <td>0.460317</td>\n",
-       "      <td>0.203387</td>\n",
-       "      <td>0.077213</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41103</th>\n",
-       "      <td>41103</td>\n",
-       "      <td>STL-10</td>\n",
-       "      <td>27649.0</td>\n",
-       "      <td>13000.0</td>\n",
-       "      <td>35.433950</td>\n",
-       "      <td>19.312334</td>\n",
-       "      <td>33.060623</td>\n",
-       "      <td>6.328586</td>\n",
-       "      <td>2.875406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1077</th>\n",
-       "      <td>1077</td>\n",
-       "      <td>rsctc2010_1</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>105.0</td>\n",
-       "      <td>2.015206</td>\n",
-       "      <td>0.196756</td>\n",
-       "      <td>0.083531</td>\n",
-       "      <td>0.052748</td>\n",
-       "      <td>0.018718</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1078</th>\n",
-       "      <td>1078</td>\n",
-       "      <td>rsctc2010_2</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>105.0</td>\n",
-       "      <td>2.199638</td>\n",
-       "      <td>0.191459</td>\n",
-       "      <td>0.076184</td>\n",
-       "      <td>0.056614</td>\n",
-       "      <td>0.018718</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1084</th>\n",
-       "      <td>1084</td>\n",
-       "      <td>BurkittLymphoma</td>\n",
-       "      <td>22284.0</td>\n",
-       "      <td>220.0</td>\n",
-       "      <td>2.209066</td>\n",
-       "      <td>0.249941</td>\n",
-       "      <td>0.289112</td>\n",
-       "      <td>0.100466</td>\n",
-       "      <td>0.039218</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1079</th>\n",
-       "      <td>1079</td>\n",
-       "      <td>rsctc2010_3</td>\n",
-       "      <td>22278.0</td>\n",
-       "      <td>95.0</td>\n",
-       "      <td>2.032667</td>\n",
-       "      <td>0.234316</td>\n",
-       "      <td>0.114343</td>\n",
-       "      <td>0.085606</td>\n",
-       "      <td>0.016931</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1106</th>\n",
-       "      <td>1106</td>\n",
-       "      <td>GCM</td>\n",
-       "      <td>16064.0</td>\n",
-       "      <td>190.0</td>\n",
-       "      <td>1.499025</td>\n",
-       "      <td>0.171833</td>\n",
-       "      <td>0.130881</td>\n",
-       "      <td>0.073684</td>\n",
-       "      <td>0.024416</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1141</th>\n",
-       "      <td>1141</td>\n",
-       "      <td>AP_Endometrium_Prostate</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>130.0</td>\n",
-       "      <td>0.923324</td>\n",
-       "      <td>0.090726</td>\n",
-       "      <td>0.045044</td>\n",
-       "      <td>0.038164</td>\n",
-       "      <td>0.011373</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1123</th>\n",
-       "      <td>1123</td>\n",
-       "      <td>AP_Endometrium_Breast</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>405.0</td>\n",
-       "      <td>1.091773</td>\n",
-       "      <td>0.111672</td>\n",
-       "      <td>0.198477</td>\n",
-       "      <td>0.105013</td>\n",
-       "      <td>0.035430</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1124</th>\n",
-       "      <td>1124</td>\n",
-       "      <td>AP_Omentum_Uterus</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>201.0</td>\n",
-       "      <td>0.878242</td>\n",
-       "      <td>0.109384</td>\n",
-       "      <td>0.072191</td>\n",
-       "      <td>0.051587</td>\n",
-       "      <td>0.017584</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1125</th>\n",
-       "      <td>1125</td>\n",
-       "      <td>AP_Omentum_Prostate</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>146.0</td>\n",
-       "      <td>1.042458</td>\n",
-       "      <td>0.086766</td>\n",
-       "      <td>0.053558</td>\n",
-       "      <td>0.046809</td>\n",
-       "      <td>0.012772</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1143</th>\n",
-       "      <td>1143</td>\n",
-       "      <td>AP_Colon_Omentum</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>363.0</td>\n",
-       "      <td>1.049377</td>\n",
-       "      <td>0.156213</td>\n",
-       "      <td>0.171288</td>\n",
-       "      <td>0.076372</td>\n",
-       "      <td>0.031756</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1157</th>\n",
-       "      <td>1157</td>\n",
-       "      <td>AP_Endometrium_Kidney</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>321.0</td>\n",
-       "      <td>1.045783</td>\n",
-       "      <td>0.100729</td>\n",
-       "      <td>0.129996</td>\n",
-       "      <td>0.080383</td>\n",
-       "      <td>0.028082</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1156</th>\n",
-       "      <td>1156</td>\n",
-       "      <td>AP_Omentum_Ovary</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>275.0</td>\n",
-       "      <td>0.908577</td>\n",
-       "      <td>0.156184</td>\n",
-       "      <td>0.107277</td>\n",
-       "      <td>0.059685</td>\n",
-       "      <td>0.024057</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1155</th>\n",
-       "      <td>1155</td>\n",
-       "      <td>AP_Prostate_Lung</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>195.0</td>\n",
-       "      <td>1.032909</td>\n",
-       "      <td>0.109349</td>\n",
-       "      <td>0.065696</td>\n",
-       "      <td>0.041494</td>\n",
-       "      <td>0.017059</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1144</th>\n",
-       "      <td>1144</td>\n",
-       "      <td>AP_Prostate_Kidney</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>329.0</td>\n",
-       "      <td>1.122264</td>\n",
-       "      <td>0.140590</td>\n",
-       "      <td>0.126342</td>\n",
-       "      <td>0.073045</td>\n",
-       "      <td>0.028781</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1145</th>\n",
-       "      <td>1145</td>\n",
-       "      <td>AP_Breast_Colon</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>630.0</td>\n",
-       "      <td>1.019341</td>\n",
-       "      <td>0.187421</td>\n",
-       "      <td>0.344438</td>\n",
-       "      <td>0.140126</td>\n",
-       "      <td>0.055113</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1147</th>\n",
-       "      <td>1147</td>\n",
-       "      <td>AP_Omentum_Kidney</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>337.0</td>\n",
-       "      <td>1.060190</td>\n",
-       "      <td>0.140593</td>\n",
-       "      <td>0.163750</td>\n",
-       "      <td>0.098761</td>\n",
-       "      <td>0.029481</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1148</th>\n",
-       "      <td>1148</td>\n",
-       "      <td>AP_Breast_Uterus</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>468.0</td>\n",
-       "      <td>1.018416</td>\n",
-       "      <td>0.140594</td>\n",
-       "      <td>0.193064</td>\n",
-       "      <td>0.113420</td>\n",
-       "      <td>0.040941</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1154</th>\n",
-       "      <td>1154</td>\n",
-       "      <td>AP_Endometrium_Lung</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>187.0</td>\n",
-       "      <td>1.034709</td>\n",
-       "      <td>0.156210</td>\n",
-       "      <td>0.059579</td>\n",
-       "      <td>0.041839</td>\n",
-       "      <td>0.016359</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1149</th>\n",
-       "      <td>1149</td>\n",
-       "      <td>AP_Ovary_Kidney</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>458.0</td>\n",
-       "      <td>1.081163</td>\n",
-       "      <td>0.171834</td>\n",
-       "      <td>0.207102</td>\n",
-       "      <td>0.089755</td>\n",
-       "      <td>0.040067</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1150</th>\n",
-       "      <td>1150</td>\n",
-       "      <td>AP_Breast_Lung</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>470.0</td>\n",
-       "      <td>1.017710</td>\n",
-       "      <td>0.100717</td>\n",
-       "      <td>0.213903</td>\n",
-       "      <td>0.093866</td>\n",
-       "      <td>0.041116</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1151</th>\n",
-       "      <td>1151</td>\n",
-       "      <td>AP_Endometrium_Omentum</td>\n",
-       "      <td>10937.0</td>\n",
-       "      <td>138.0</td>\n",
-       "      <td>0.934093</td>\n",
-       "      <td>0.107675</td>\n",
-       "      <td>0.113500</td>\n",
-       "      <td>0.042515</td>\n",
-       "      <td>0.012073</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41157</th>\n",
-       "      <td>41157</td>\n",
-       "      <td>arcene</td>\n",
-       "      <td>10001.0</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>0.861981</td>\n",
-       "      <td>0.102687</td>\n",
-       "      <td>0.067159</td>\n",
-       "      <td>0.031115</td>\n",
-       "      <td>0.008000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1104</th>\n",
-       "      <td>1104</td>\n",
-       "      <td>leukemia</td>\n",
-       "      <td>7130.0</td>\n",
-       "      <td>72.0</td>\n",
-       "      <td>0.615872</td>\n",
-       "      <td>0.056812</td>\n",
-       "      <td>0.016384</td>\n",
-       "      <td>0.016751</td>\n",
-       "      <td>0.004107</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1107</th>\n",
-       "      <td>1107</td>\n",
-       "      <td>tumors_C</td>\n",
-       "      <td>7130.0</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>0.661066</td>\n",
-       "      <td>0.052924</td>\n",
-       "      <td>0.019973</td>\n",
-       "      <td>0.015978</td>\n",
-       "      <td>0.003422</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1233</th>\n",
-       "      <td>1233</td>\n",
-       "      <td>eating</td>\n",
-       "      <td>6374.0</td>\n",
-       "      <td>945.0</td>\n",
-       "      <td>0.572870</td>\n",
-       "      <td>0.152590</td>\n",
-       "      <td>0.271552</td>\n",
-       "      <td>0.117579</td>\n",
-       "      <td>0.048181</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41083</th>\n",
-       "      <td>41083</td>\n",
-       "      <td>Olivetti_Faces</td>\n",
-       "      <td>4097.0</td>\n",
-       "      <td>400.0</td>\n",
-       "      <td>0.674196</td>\n",
-       "      <td>0.057846</td>\n",
-       "      <td>0.139690</td>\n",
-       "      <td>0.037910</td>\n",
-       "      <td>0.013109</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1101</th>\n",
-       "      <td>1101</td>\n",
-       "      <td>lymphoma_2classes</td>\n",
-       "      <td>4027.0</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>0.396005</td>\n",
-       "      <td>0.046866</td>\n",
-       "      <td>0.014336</td>\n",
-       "      <td>0.012303</td>\n",
-       "      <td>0.001450</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1102</th>\n",
-       "      <td>1102</td>\n",
-       "      <td>lymphoma_9classes</td>\n",
-       "      <td>4027.0</td>\n",
-       "      <td>96.0</td>\n",
-       "      <td>0.502859</td>\n",
-       "      <td>0.046865</td>\n",
-       "      <td>0.016097</td>\n",
-       "      <td>0.009604</td>\n",
-       "      <td>0.003092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1109</th>\n",
-       "      <td>1109</td>\n",
-       "      <td>lymphoma_11classes</td>\n",
-       "      <td>4027.0</td>\n",
-       "      <td>96.0</td>\n",
-       "      <td>0.652747</td>\n",
-       "      <td>0.080214</td>\n",
-       "      <td>0.014480</td>\n",
-       "      <td>0.015413</td>\n",
-       "      <td>0.003092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41081</th>\n",
-       "      <td>41081</td>\n",
-       "      <td>SVHN</td>\n",
-       "      <td>3073.0</td>\n",
-       "      <td>99289.0</td>\n",
-       "      <td>28.923383</td>\n",
-       "      <td>8.008369</td>\n",
-       "      <td>39.676428</td>\n",
-       "      <td>5.394063</td>\n",
-       "      <td>2.440226</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1103</th>\n",
-       "      <td>1103</td>\n",
-       "      <td>yeast_gene</td>\n",
-       "      <td>2884.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>0.360032</td>\n",
-       "      <td>0.052857</td>\n",
-       "      <td>0.007989</td>\n",
-       "      <td>0.007990</td>\n",
-       "      <td>0.000392</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40978</th>\n",
-       "      <td>40978</td>\n",
-       "      <td>Internet-Advertisements</td>\n",
-       "      <td>1559.0</td>\n",
-       "      <td>3279.0</td>\n",
-       "      <td>0.473773</td>\n",
-       "      <td>0.562293</td>\n",
-       "      <td>0.261103</td>\n",
-       "      <td>0.496585</td>\n",
-       "      <td>0.005330</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1515</th>\n",
-       "      <td>1515</td>\n",
-       "      <td>micro-mass</td>\n",
-       "      <td>1301.0</td>\n",
-       "      <td>571.0</td>\n",
-       "      <td>0.121520</td>\n",
-       "      <td>0.020906</td>\n",
-       "      <td>0.026162</td>\n",
-       "      <td>0.019720</td>\n",
-       "      <td>0.005940</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>403</th>\n",
-       "      <td>403</td>\n",
-       "      <td>heyl</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>0.093721</td>\n",
-       "      <td>0.023425</td>\n",
-       "      <td>0.005036</td>\n",
-       "      <td>0.003993</td>\n",
-       "      <td>0.000101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>435</th>\n",
-       "      <td>435</td>\n",
-       "      <td>uehling</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>0.080783</td>\n",
-       "      <td>0.011801</td>\n",
-       "      <td>0.003047</td>\n",
-       "      <td>0.006021</td>\n",
-       "      <td>0.000082</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>404</th>\n",
-       "      <td>404</td>\n",
-       "      <td>yokohoma1</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>0.086770</td>\n",
-       "      <td>0.014919</td>\n",
-       "      <td>0.004987</td>\n",
-       "      <td>0.003398</td>\n",
-       "      <td>0.000119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>407</th>\n",
-       "      <td>407</td>\n",
-       "      <td>krystek</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>0.093768</td>\n",
-       "      <td>0.015582</td>\n",
-       "      <td>0.004321</td>\n",
-       "      <td>0.004882</td>\n",
-       "      <td>0.000274</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>417</th>\n",
-       "      <td>417</td>\n",
-       "      <td>tsutumi</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>0.099977</td>\n",
-       "      <td>0.008973</td>\n",
-       "      <td>0.007526</td>\n",
-       "      <td>0.007785</td>\n",
-       "      <td>0.000119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>418</th>\n",
-       "      <td>418</td>\n",
-       "      <td>strupcz</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>0.083812</td>\n",
-       "      <td>0.011976</td>\n",
-       "      <td>0.003998</td>\n",
-       "      <td>0.007988</td>\n",
-       "      <td>0.000311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>408</th>\n",
-       "      <td>408</td>\n",
-       "      <td>depreux</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>26.0</td>\n",
-       "      <td>0.234319</td>\n",
-       "      <td>0.015623</td>\n",
-       "      <td>0.005130</td>\n",
-       "      <td>0.005069</td>\n",
-       "      <td>0.000238</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>423</th>\n",
-       "      <td>423</td>\n",
-       "      <td>svensson</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>0.143215</td>\n",
-       "      <td>0.010004</td>\n",
-       "      <td>0.005019</td>\n",
-       "      <td>0.003927</td>\n",
-       "      <td>0.000119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>414</th>\n",
-       "      <td>414</td>\n",
-       "      <td>lewis</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>0.082779</td>\n",
-       "      <td>0.012964</td>\n",
-       "      <td>0.004390</td>\n",
-       "      <td>0.004475</td>\n",
-       "      <td>0.000064</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>410</th>\n",
-       "      <td>410</td>\n",
-       "      <td>carbolenes</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>0.109349</td>\n",
-       "      <td>0.015625</td>\n",
-       "      <td>0.006042</td>\n",
-       "      <td>0.004040</td>\n",
-       "      <td>0.000338</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>430</th>\n",
-       "      <td>430</td>\n",
-       "      <td>mtp2</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>274.0</td>\n",
-       "      <td>0.106375</td>\n",
-       "      <td>0.015622</td>\n",
-       "      <td>0.011389</td>\n",
-       "      <td>0.010999</td>\n",
-       "      <td>0.002506</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>432</th>\n",
-       "      <td>432</td>\n",
-       "      <td>stevenson</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>0.109349</td>\n",
-       "      <td>0.015621</td>\n",
-       "      <td>0.005084</td>\n",
-       "      <td>0.003034</td>\n",
-       "      <td>0.000046</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>411</th>\n",
-       "      <td>411</td>\n",
-       "      <td>garrat2</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>0.109389</td>\n",
-       "      <td>0.015616</td>\n",
-       "      <td>0.009640</td>\n",
-       "      <td>0.003987</td>\n",
-       "      <td>0.000128</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>437</th>\n",
-       "      <td>437</td>\n",
-       "      <td>garrat</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>0.104646</td>\n",
-       "      <td>0.018948</td>\n",
-       "      <td>0.003809</td>\n",
-       "      <td>0.006324</td>\n",
-       "      <td>0.000092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>436</th>\n",
-       "      <td>436</td>\n",
-       "      <td>rosowky</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>0.082785</td>\n",
-       "      <td>0.012924</td>\n",
-       "      <td>0.002109</td>\n",
-       "      <td>0.006226</td>\n",
-       "      <td>0.000092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>413</th>\n",
-       "      <td>413</td>\n",
-       "      <td>siddiqi</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>0.093731</td>\n",
-       "      <td>0.015584</td>\n",
-       "      <td>0.003953</td>\n",
-       "      <td>0.002720</td>\n",
-       "      <td>0.000092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>439</th>\n",
-       "      <td>439</td>\n",
-       "      <td>chang</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>0.093754</td>\n",
-       "      <td>0.015626</td>\n",
-       "      <td>0.007079</td>\n",
-       "      <td>0.006504</td>\n",
-       "      <td>0.000311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>438</th>\n",
-       "      <td>438</td>\n",
-       "      <td>doherty</td>\n",
-       "      <td>1143.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>0.122270</td>\n",
-       "      <td>0.011007</td>\n",
-       "      <td>0.008917</td>\n",
-       "      <td>0.004290</td>\n",
-       "      <td>0.000055</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>78 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       did                             name  NumberOfFeatures  \\\n",
-       "1085  1085  anthracyclineTaxaneChemotherapy           61360.0   \n",
-       "1082  1082                      rsctc2010_6           59005.0   \n",
-       "1080  1080                      rsctc2010_4           54676.0   \n",
-       "1088  1088             variousCancers_final           54676.0   \n",
-       "1086  1086                    ovarianTumour           54622.0   \n",
-       "...    ...                              ...               ...   \n",
-       "437    437                           garrat            1143.0   \n",
-       "436    436                          rosowky            1143.0   \n",
-       "413    413                          siddiqi            1143.0   \n",
-       "439    439                            chang            1143.0   \n",
-       "438    438                          doherty            1143.0   \n",
-       "\n",
-       "      NumberOfInstances  featherwrite  featherread  picklewrite  pickleread  \\\n",
-       "1085              159.0     10.157905     1.077166     0.527552    0.198696   \n",
-       "1082               92.0     10.280048     0.794739     0.289215    0.118081   \n",
-       "1080              113.0     10.228626     0.788161     0.330797    0.144224   \n",
-       "1088              383.0     11.579995     0.912687     0.918777    0.438318   \n",
-       "1086              283.0     13.117118     0.953524     0.793143    0.288986   \n",
-       "...                 ...           ...          ...          ...         ...   \n",
-       "437                10.0      0.104646     0.018948     0.003809    0.006324   \n",
-       "436                10.0      0.082785     0.012924     0.002109    0.006226   \n",
-       "413                10.0      0.093731     0.015584     0.003953    0.002720   \n",
-       "439                34.0      0.093754     0.015626     0.007079    0.006504   \n",
-       "438                 6.0      0.122270     0.011007     0.008917    0.004290   \n",
-       "\n",
-       "      memoryusage(GB)  \n",
-       "1085         0.078049  \n",
-       "1082         0.043427  \n",
-       "1080         0.049426  \n",
-       "1088         0.167525  \n",
-       "1086         0.123662  \n",
-       "...               ...  \n",
-       "437          0.000092  \n",
-       "436          0.000092  \n",
-       "413          0.000092  \n",
-       "439          0.000311  \n",
-       "438          0.000055  \n",
-       "\n",
-       "[78 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "list_datasets[list_datasets[\"featherread\"]> list_datasets[\"pickleread\"]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "feather-write:\n",
-      "2.55 s ± 93.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# write to disk - feather\n",
-    "print('feather-write:')\n",
-    "%timeit feather.write_feather(df, 'example_feather')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "parquet-write:\n",
-      "4.25 s ± 46.6 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('parquet-write:')\n",
-    "%timeit parquet.write_table(pa.Table.from_pandas(df), 'example_pq.parquet')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "pickle-write:\n",
-      "6.52 s ± 228 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('pickle-write:')\n",
-    "%timeit df.to_pickle(\"example_pickle.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "feather-read:\n",
-      "471 ms ± 28.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# read - feather\n",
-    "print('feather-read:')\n",
-    "%timeit feather.read_feather('example_feather')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "paquet-read:\n",
-      "232 ms ± 7.21 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('paquet-read:')\n",
-    "%timeit parquet.read_table('example_parquet.parquet').to_pandas()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "pickle-read\n",
-      "3.04 s ± 8.62 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('pickle-read')\n",
-    "%timeit pd.read_pickle(\"example_pickle.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataframe memory usage 0.078048903 gigabytes\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"Dataframe memory usage\", df.memory_usage(index=True).sum() * 1e-9 , \"gigabytes\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<pyarrow._parquet.FileMetaData object at 0x0000019E943D7908>\n",
-       "  created_by: parquet-cpp version 1.5.1-SNAPSHOT\n",
-       "  num_columns: 61360\n",
-       "  num_rows: 159\n",
-       "  num_row_groups: 1\n",
-       "  format_version: 1.0\n",
-       "  serialized_size: 13820684"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "parquet_file = parquet.ParquetFile(\"example_pq.parquet\")\n",
-    "parquet_file.metadata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/testing_feather.py b/testing_feather.py
deleted file mode 100644
index 06e8dfcd5..000000000
--- a/testing_feather.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from openml import datasets
-import time
-import pandas as pd
-
-pd.set_option("display.max_colwidth", -1)
-def run_get(filename):
-    list_datasets = datasets.list_datasets(output_format="dataframe")
-    first_time = []
-    ids = list_datasets
-    for did in ids['did']:
-        start = time.time()
-        try:
-            data = datasets.get_dataset(did)
-            data.get_data()
-        except:
-            pass
-        end = time.time()
-        first_time.append(end-start)
-
-
-    ids["first_time"] = first_time
-    ids.to_pickle(filename)
-
-#run_get("list_second.pkl")
-df1 = pd.read_pickle("list.pkl")
-df2 = pd.read_pickle("list_second.pkl")
-print(len(df1), len(df2))
-compare = df1["first_time"] < df2["first_time"]
-print(compare[compare].index)
-df1.to_csv('df1.csv')
-df2.to_csv('df2.csv')
\ No newline at end of file

From 48e2a1661c6b0a514ba8490b32b1a02a6029addb Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 14:08:51 +0100
Subject: [PATCH 12/37] return type

---
 openml/datasets/dataset.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 57440fc88..5a0128ea1 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -400,7 +400,7 @@ def _parse_data_from_arff(
 
         return X, categorical, attribute_names
 
-    def _create_pickle_in_cache(self, data_file: str) -> str:
+    def _create_pickle_in_cache(self, data_file: str) -> (str, str):
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
         data_feather_file = data_file.replace('.arff', '.feather')

From 19c22fe577299837abd6ec77b7a1e60a2352fbc5 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 14:39:45 +0100
Subject: [PATCH 13/37] fix type annotation

---
 openml/datasets/dataset.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 5a0128ea1..f5baeec3f 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -400,7 +400,7 @@ def _parse_data_from_arff(
 
         return X, categorical, attribute_names
 
-    def _create_pickle_in_cache(self, data_file: str) -> (str, str):
+    def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
         data_feather_file = data_file.replace('.arff', '.feather')

From 98be05543ade515d6169fd106138baa32a884940 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 8 Jan 2020 19:23:02 +0100
Subject: [PATCH 14/37] value check

---
 openml/datasets/functions.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index dbee9e7d2..5dd069515 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -4,7 +4,7 @@
 import logging
 import os
 import re
-from typing import List, Dict, Union, Optional
+from typing import List, Dict, Union, Optional, Tuple
 
 import numpy as np
 import arff
@@ -480,12 +480,19 @@ def get_dataset(
         If no version is specified, retrieve the least recent still active version.
     error_if_multiple : bool, optional (default=False)
         If ``True`` raise an error if multiple datasets are found with matching criteria.
+    cache_format : str, optional (default='feather)
+        Format for caching the dataset - may be feather or pickle
+        The default option feather may be slower than pickle when no.of.columns is high.
+        Hence, we have an option to set the caching to pickle in such cases.
 
     Returns
     -------
     dataset : :class:`openml.OpenMLDataset`
         The downloaded dataset.
     """
+    if cache_format not in ['feather', 'pickle']:
+        raise ValueError("cache_format can only be 'feather' or 'pickle'")
+
     if isinstance(dataset_id, str):
         try:
             dataset_id = int(dataset_id)

From 112eb1da5eb8cb202234a2d0b38709907737e67b Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Fri, 10 Jan 2020 09:53:25 +0100
Subject: [PATCH 15/37] change feather condition

---
 openml/datasets/dataset.py | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index f5baeec3f..7932a1afb 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -404,7 +404,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
         data_feather_file = data_file.replace('.arff', '.feather')
-        if os.path.exists(data_pickle_file):
+        if self.cache_format == 'feather':
             if os.path.exists(data_feather_file):
                 data = feather.read_feather(data_feather_file)
                 with open(data_pickle_file, "rb") as fh:
@@ -439,12 +439,12 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix:
-            print("feather write")
+            logger.info("feather write")
             feather.write_feather(X, data_feather_file)
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
-            print("pickle write")
+            logger.info("pickle write")
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
 
@@ -458,7 +458,6 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
 
     def _load_data(self):
         """ Load data from pickle or arff. Download data first if not present on disk. """
-        print("load data")
         if self.data_pickle_file is None:
             if self.data_file is None:
                 self._download_data()
@@ -466,14 +465,14 @@ def _load_data(self):
                 self.data_file)
 
         try:
-            if os.path.exists(self.data_feather_file):
-                print("feather load data")
+            if self.cache_format == 'feather':
+                logger.info("feather load data")
                 data = feather.read_feather(self.data_feather_file)
 
                 with open(self.data_pickle_file, "rb") as fh:
                     categorical, attribute_names = pickle.load(fh)
             else:
-                print("pickle load data")
+                logger.info("pickle load data")
                 with open(self.data_pickle_file, "rb") as fh:
                     data, categorical, attribute_names = pickle.load(fh)
         except EOFError:

From 99fac3d786893f54dbe6a7be63f9c19d2ada3628 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Sat, 11 Jan 2020 21:53:34 +0100
Subject: [PATCH 16/37] fixes and test

---
 openml/datasets/dataset.py                    |  7 +++++--
 openml/datasets/functions.py                  |  9 ++++-----
 tests/test_datasets/test_dataset_functions.py | 14 ++++++++++++++
 3 files changed, 23 insertions(+), 7 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 7932a1afb..eb7c9f813 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -37,6 +37,8 @@ class OpenMLDataset(OpenMLBase):
         Description of the dataset.
     format : str
         Format of the dataset which can be either 'arff' or 'sparse_arff'.
+    cache_format : str, optional
+        Format for caching the dataset which can be either 'feather' or 'pickle'.
     dataset_id : int, optional
         Id autogenerated by the server.
     version : int, optional
@@ -414,8 +416,8 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
                         # The file is likely corrupt, see #780.
                         # We deal with this when loading the data in `_load_data`.
                         return data_pickle_file, data_feather_file
-
-            else:
+        else:
+            if os.path.exists(data_pickle_file):
                 # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
                 with open(data_pickle_file, "rb") as fh:
                     try:
@@ -445,6 +447,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
             logger.info("pickle write")
+            self.cache_format = 'pickle'
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
 
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index 5dd069515..83bb22d9e 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -4,7 +4,7 @@
 import logging
 import os
 import re
-from typing import List, Dict, Union, Optional, Tuple
+from typing import List, Dict, Union, Optional
 
 import numpy as np
 import arff
@@ -482,16 +482,15 @@ def get_dataset(
         If ``True`` raise an error if multiple datasets are found with matching criteria.
     cache_format : str, optional (default='feather)
         Format for caching the dataset - may be feather or pickle
-        The default option feather may be slower than pickle when no.of.columns is high.
-        Hence, we have an option to set the caching to pickle in such cases.
-
+        Note that the default 'feather' option may load slower than pickle when
+        no.of.cols is very high.
     Returns
     -------
     dataset : :class:`openml.OpenMLDataset`
         The downloaded dataset.
     """
     if cache_format not in ['feather', 'pickle']:
-        raise ValueError("cache_format can only be 'feather' or 'pickle'")
+        raise ValueError("cache_format must be one of 'feather' or 'pickle'")
 
     if isinstance(dataset_id, str):
         try:
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 2f1a820aa..f29c95bac 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1316,3 +1316,17 @@ def test_list_qualities(self):
         qualities = openml.datasets.list_qualities()
         self.assertEqual(isinstance(qualities, list), True)
         self.assertEqual(all([isinstance(q, str) for q in qualities]), True)
+
+    def test_get_dataset_cache_format(self):
+        # This is the only non-lazy load to ensure default behaviour works.
+        dataset = openml.datasets.get_dataset(1, cache_format='pickle')
+        self.assertEqual(type(dataset), OpenMLDataset)
+        self.assertEqual(dataset.name, 'anneal')
+        self._datasets_retrieved_successfully([1], metadata_only=False)
+
+        self.assertGreater(len(dataset.features), 1)
+        self.assertGreater(len(dataset.qualities), 4)
+
+        # Issue324 Properly handle private datasets when trying to access them
+        openml.config.server = self.production_server
+        self.assertRaises(OpenMLPrivateDatasetError, openml.datasets.get_dataset, 45)

From cf3cbadb866a8c53cc0dcf234cfb51bd9f1ae8b2 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Mon, 13 Jan 2020 11:50:20 +0100
Subject: [PATCH 17/37] fix errors

---
 openml/datasets/dataset.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index eb7c9f813..8caf9eac4 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -427,14 +427,14 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
                         # We deal with this when loading the data in `_load_data`.
                         return data_pickle_file, data_feather_file
 
-            # Between v0.8 and v0.9 the format of pickled data changed from
-            # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
-            # e.g. for `run_model_on_task`. If a local file still exists with
-            # np.ndarray data, we reprocess the data file to store a pickled
-            # pd.DataFrame blob. See also #646.
-            if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
-                logger.debug("Data pickle file already exists and is up to date.")
-                return data_pickle_file, data_feather_file
+                # Between v0.8 and v0.9 the format of pickled data changed from
+                # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
+                # e.g. for `run_model_on_task`. If a local file still exists with
+                # np.ndarray data, we reprocess the data file to store a pickled
+                # pd.DataFrame blob. See also #646.
+                if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
+                    logger.debug("Data pickle file already exists and is up to date.")
+                    return data_pickle_file, data_feather_file
 
         # At this point either the pickle file does not exist, or it had outdated formatting.
         # We parse the data from arff again and populate the cache with a recent pickle file.

From 09d6bdb6e937d554a3130e930b6922d0fa1d5899 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Mon, 13 Jan 2020 13:37:38 +0100
Subject: [PATCH 18/37] testing file

---
 testing_feather.py | 36 ++++++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 testing_feather.py

diff --git a/testing_feather.py b/testing_feather.py
new file mode 100644
index 000000000..130d48c6d
--- /dev/null
+++ b/testing_feather.py
@@ -0,0 +1,36 @@
+from openml import datasets
+import time
+import pandas as pd
+
+pd.set_option("display.max_colwidth", -1)
+def run_get(filename):
+    list_datasets = datasets.list_datasets(output_format="dataframe")
+    first_time = []
+    ids = pd.DataFrame(list_datasets.ix[:9,:])
+    for did in ids['did']:
+        start = time.time()
+        #try:
+        if True:
+            data = datasets.get_dataset(did, cache_format='feather')
+            data.get_data()
+        #except:
+        else:
+            print("except")
+            pass
+        end = time.time()
+        first_time.append(end-start)
+    ids["first_time"] = first_time
+    ids.to_pickle(filename)
+
+run_get("pickle_cache.pkl")
+
+# pd.set_option('display.max_colwidth', -1)
+# df1 = pd.read_pickle("feather_cache.pkl")
+# df2 = pd.read_pickle("pickle_cache.pkl")
+# print(df1)
+# print(df2)
+# # print(len(df1), len(df2))
+# compare = df1["first_time"] < df2["first_time"]
+# print(compare[compare].index)
+# # df1.to_csv('df1.csv')
+# # df2.to_csv('df2.csv')
\ No newline at end of file

From 3aff92765ff306a675ceb9993a3a2caa6b4f8b3b Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 11:22:08 +0100
Subject: [PATCH 19/37] feather new file for attributes

---
 openml/datasets/dataset.py   | 106 +++++++++++++++++++----------------
 openml/datasets/functions.py |   2 +
 2 files changed, 60 insertions(+), 48 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 8caf9eac4..394999e4d 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -10,6 +10,7 @@
 import pyarrow.feather as feather
 
 from typing import List, Optional, Union, Tuple, Iterable, Dict
+
 import arff
 import numpy as np
 import pandas as pd
@@ -131,6 +132,9 @@ def __init__(self, name, description, format=None,
         self.name = name
         self.version = int(version) if version is not None else None
         self.description = description
+        if cache_format not in ['feather', 'pickle']:
+            raise ValueError("cache_format must be one of 'feather' or 'pickle'")
+
         self.cache_format = cache_format
         if format is None:
             self.format = data_format
@@ -185,10 +189,10 @@ def __init__(self, name, description, format=None,
         self.qualities = _check_qualities(qualities)
 
         if data_file is not None:
-            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(data_file)
+            self.data_pickle_file, self.data_feather_file,\
+                self.feather_attribute_file = self._create_pickle_in_cache(data_file)
         else:
-            self.data_pickle_file = None
-            self.data_feather_file = None
+            self.data_pickle_file, self.data_feather_file, self.feather_attribute_file = None, None, None
 
     @property
     def id(self) -> Optional[int]:
@@ -402,77 +406,83 @@ def _parse_data_from_arff(
 
         return X, categorical, attribute_names
 
-    def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str]:
+    def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
-        data_feather_file = data_file.replace('.arff', '.feather')
-        if self.cache_format == 'feather':
-            if os.path.exists(data_feather_file):
+        data_feather_file = data_file.replace('.arff','.feather')
+        feather_attribute_file = 'attribute_info.pkl.py3'
+        if os.path.exists(data_pickle_file) and self.cache_format == 'pickle':
+            # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
+            with open(data_pickle_file, "rb") as fh:
+                try:
+                    data, categorical, attribute_names = pickle.load(fh)
+                except EOFError:
+                    # The file is likely corrupt, see #780.
+                    # We deal with this when loading the data in `_load_data`.
+                    return data_pickle_file, data_feather_file, feather_attribute_file
+
+            # Between v0.8 and v0.9 the format of pickled data changed from
+            # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
+            # e.g. for `run_model_on_task`. If a local file still exists with
+            # np.ndarray data, we reprocess the data file to store a pickled
+            # pd.DataFrame blob. See also #646.
+            if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
+                logger.debug("Data pickle file already exists and is up to date.")
+                return data_pickle_file, data_feather_file, feather_attribute_file
+        elif os.path.exists(data_feather_file) and self.cache_format == 'feather':
+            # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
+            try:
                 data = feather.read_feather(data_feather_file)
-                with open(data_pickle_file, "rb") as fh:
-                    try:
-                        categorical, attribute_names = pickle.load(fh)
-                    except EOFError:
-                        # The file is likely corrupt, see #780.
-                        # We deal with this when loading the data in `_load_data`.
-                        return data_pickle_file, data_feather_file
-        else:
-            if os.path.exists(data_pickle_file):
-                # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
-                with open(data_pickle_file, "rb") as fh:
-                    try:
-                        data, categorical, attribute_names = pickle.load(fh)
-                    except EOFError:
-                        # The file is likely corrupt, see #780.
-                        # We deal with this when loading the data in `_load_data`.
-                        return data_pickle_file, data_feather_file
-
-                # Between v0.8 and v0.9 the format of pickled data changed from
-                # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
-                # e.g. for `run_model_on_task`. If a local file still exists with
-                # np.ndarray data, we reprocess the data file to store a pickled
-                # pd.DataFrame blob. See also #646.
-                if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
-                    logger.debug("Data pickle file already exists and is up to date.")
-                    return data_pickle_file, data_feather_file
+            except EOFError:
+                # The file is likely corrupt, see #780.
+                # We deal with this when loading the data in `_load_data`.
+                return data_pickle_file, data_feather_file, feather_attribute_file
+
+            # Between v0.8 and v0.9 the format of pickled data changed from
+            # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
+            # e.g. for `run_model_on_task`. If a local file still exists with
+            # np.ndarray data, we reprocess the data file to store a pickled
+            # pd.DataFrame blob. See also #646.
+            if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
+                logger.debug("Data pickle file already exists and is up to date.")
+                return data_pickle_file, data_feather_file, feather_attribute_file
 
         # At this point either the pickle file does not exist, or it had outdated formatting.
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix:
-            logger.info("feather write")
+            print("feather write")
             feather.write_feather(X, data_feather_file)
-            with open(data_pickle_file, "wb") as fh:
+            with open(feather_attribute_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
-            logger.info("pickle write")
+            print("pickle write")
             self.cache_format = 'pickle'
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
-
-        logger.debug("Saved dataset {did}: {name} to file {path}"
-                     .format(did=int(self.dataset_id or -1),
-                             name=self.name,
-                             path=data_pickle_file)
-                     )
-
-        return data_pickle_file, data_feather_file
+            logger.debug("Saved dataset {did}: {name} to file {path}"
+                         .format(did=int(self.dataset_id or -1),
+                                 name=self.name,
+                                 path=data_pickle_file)
+                         )
+        return data_pickle_file, data_feather_file, feather_attribute_file
 
     def _load_data(self):
         """ Load data from pickle or arff. Download data first if not present on disk. """
-        if self.data_pickle_file is None:
+        if (self.cache_format == 'pickle' and self.data_pickle_file is None) or \
+                (self.cache_format == 'feather' and self.data_feather_file is None):
             if self.data_file is None:
                 self._download_data()
-            self.data_pickle_file, self.data_feather_file = self._create_pickle_in_cache(
-                self.data_file)
+            self.data_pickle_file, self.data_feather_file, self.feather_attribute_file = \
+                self._create_pickle_in_cache(self.data_file)
 
         try:
             if self.cache_format == 'feather':
                 logger.info("feather load data")
                 data = feather.read_feather(self.data_feather_file)
 
-                with open(self.data_pickle_file, "rb") as fh:
+                with open(self.feather_attribute_file, "rb") as fh:
                     categorical, attribute_names = pickle.load(fh)
             else:
                 logger.info("pickle load data")
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index 83bb22d9e..b5a0decd1 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -996,6 +996,8 @@ def _create_dataset_from_description(
         Description of a dataset qualities.
     arff_file : string, optional
         Path of dataset ARFF file.
+    cache_format: string, optional
+        Caching option for datasets (feather/pickle)
 
     Returns
     -------

From b521534907fe36a6014e396d9b02da9606c687ea Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 11:33:49 +0100
Subject: [PATCH 20/37] change feather attribute file path

---
 openml/datasets/dataset.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 394999e4d..85ff39b62 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -410,7 +410,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
         data_feather_file = data_file.replace('.arff','.feather')
-        feather_attribute_file = 'attribute_info.pkl.py3'
+        feather_attribute_file = data_file.replace('.arff','_attribute.pkl.py3')
         if os.path.exists(data_pickle_file) and self.cache_format == 'pickle':
             # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
             with open(data_pickle_file, "rb") as fh:

From 8eb77cf323d66be06c5d6693ee0b58d4d0636faf Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 12:47:30 +0100
Subject: [PATCH 21/37] delete testing file

---
 testing_feather.py | 36 ------------------------------------
 1 file changed, 36 deletions(-)
 delete mode 100644 testing_feather.py

diff --git a/testing_feather.py b/testing_feather.py
deleted file mode 100644
index 130d48c6d..000000000
--- a/testing_feather.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from openml import datasets
-import time
-import pandas as pd
-
-pd.set_option("display.max_colwidth", -1)
-def run_get(filename):
-    list_datasets = datasets.list_datasets(output_format="dataframe")
-    first_time = []
-    ids = pd.DataFrame(list_datasets.ix[:9,:])
-    for did in ids['did']:
-        start = time.time()
-        #try:
-        if True:
-            data = datasets.get_dataset(did, cache_format='feather')
-            data.get_data()
-        #except:
-        else:
-            print("except")
-            pass
-        end = time.time()
-        first_time.append(end-start)
-    ids["first_time"] = first_time
-    ids.to_pickle(filename)
-
-run_get("pickle_cache.pkl")
-
-# pd.set_option('display.max_colwidth', -1)
-# df1 = pd.read_pickle("feather_cache.pkl")
-# df2 = pd.read_pickle("pickle_cache.pkl")
-# print(df1)
-# print(df2)
-# # print(len(df1), len(df2))
-# compare = df1["first_time"] < df2["first_time"]
-# print(compare[compare].index)
-# # df1.to_csv('df1.csv')
-# # df2.to_csv('df2.csv')
\ No newline at end of file

From 4894bbd52dc5ca360db45c27ddd904c75efb31aa Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 16:25:31 +0100
Subject: [PATCH 22/37] testing changes

---
 openml/datasets/dataset.py                    |  8 +++----
 tests/test_datasets/test_dataset_functions.py | 21 ++++++++++++-------
 2 files changed, 17 insertions(+), 12 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 85ff39b62..b6f89d9c5 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -409,8 +409,8 @@ def _parse_data_from_arff(
     def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
-        data_feather_file = data_file.replace('.arff','.feather')
-        feather_attribute_file = data_file.replace('.arff','_attribute.pkl.py3')
+        data_feather_file = data_file.replace('.arff', '.feather')
+        feather_attribute_file = data_file.replace('.arff', '_attribute.pkl.py3')
         if os.path.exists(data_pickle_file) and self.cache_format == 'pickle':
             # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
             with open(data_pickle_file, "rb") as fh:
@@ -452,12 +452,12 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix:
-            print("feather write")
+            logger.info("feather write")
             feather.write_feather(X, data_feather_file)
             with open(feather_attribute_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
-            print("pickle write")
+            logger.info("pickle write")
             self.cache_format = 'pickle'
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index f29c95bac..95ae4868d 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1317,16 +1317,21 @@ def test_list_qualities(self):
         self.assertEqual(isinstance(qualities, list), True)
         self.assertEqual(all([isinstance(q, str) for q in qualities]), True)
 
-    def test_get_dataset_cache_format(self):
-        # This is the only non-lazy load to ensure default behaviour works.
-        dataset = openml.datasets.get_dataset(1, cache_format='pickle')
+    def test_get_dataset_cache_format_pickle(self):
+        # Feather format is default and tested by all other cases
+        # this test case checks if pickle option works
+        dataset = openml.datasets.get_dataset(1, cache_format='feather')
         self.assertEqual(type(dataset), OpenMLDataset)
         self.assertEqual(dataset.name, 'anneal')
-        self._datasets_retrieved_successfully([1], metadata_only=False)
-
         self.assertGreater(len(dataset.features), 1)
         self.assertGreater(len(dataset.qualities), 4)
 
-        # Issue324 Properly handle private datasets when trying to access them
-        openml.config.server = self.production_server
-        self.assertRaises(OpenMLPrivateDatasetError, openml.datasets.get_dataset, 45)
+        X, y, categorical, attribute_names = dataset.get_data()
+        self.assertIsInstance(X, pd.DataFrame)
+        self.assertEqual(len(categorical), X.shape[1])
+        self.assertEqual(len(attribute_names), X.shape[1])
+
+
+
+
+

From b6839b1e69dd97fc007d5aefadc0c35d60837806 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 17:18:04 +0100
Subject: [PATCH 23/37] delete pkls

---
 list.pkl        | Bin 454048 -> 0 bytes
 list_second.pkl | Bin 454048 -> 0 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 list.pkl
 delete mode 100644 list_second.pkl

diff --git a/list.pkl b/list.pkl
deleted file mode 100644
index b76c1fefe3a847b2f5d0cccbcf74844e147626fd..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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Wnj-bp_+3$7-5j9|(A%=);Qt3<O^(q3


From 131bdad3700b7a371201556ad1f15f6431e308fa Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 18:18:26 +0100
Subject: [PATCH 24/37] fixes

---
 openml/datasets/dataset.py                    | 3 ++-
 tests/test_datasets/test_dataset_functions.py | 5 -----
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index b6f89d9c5..7912010ea 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -192,7 +192,8 @@ def __init__(self, name, description, format=None,
             self.data_pickle_file, self.data_feather_file,\
                 self.feather_attribute_file = self._create_pickle_in_cache(data_file)
         else:
-            self.data_pickle_file, self.data_feather_file, self.feather_attribute_file = None, None, None
+            self.data_pickle_file, self.data_feather_file, self.feather_attribute_file = None, None, \
+                                                                                         None
 
     @property
     def id(self) -> Optional[int]:
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 95ae4868d..5dcdd5992 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1330,8 +1330,3 @@ def test_get_dataset_cache_format_pickle(self):
         self.assertIsInstance(X, pd.DataFrame)
         self.assertEqual(len(categorical), X.shape[1])
         self.assertEqual(len(attribute_names), X.shape[1])
-
-
-
-
-

From aeb9b9887922875fe815a7440f4046e56c339be1 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 14 Jan 2020 20:07:13 +0100
Subject: [PATCH 25/37] fixes

---
 openml/datasets/dataset.py                    | 14 ++++----------
 tests/test_datasets/test_dataset_functions.py |  3 ++-
 2 files changed, 6 insertions(+), 11 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 7912010ea..724acb48d 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -192,8 +192,8 @@ def __init__(self, name, description, format=None,
             self.data_pickle_file, self.data_feather_file,\
                 self.feather_attribute_file = self._create_pickle_in_cache(data_file)
         else:
-            self.data_pickle_file, self.data_feather_file, self.feather_attribute_file = None, None, \
-                                                                                         None
+            self.data_pickle_file, self.data_feather_file, \
+                self.feather_attribute_file = None, None, None
 
     @property
     def id(self) -> Optional[int]:
@@ -439,14 +439,8 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
                 # We deal with this when loading the data in `_load_data`.
                 return data_pickle_file, data_feather_file, feather_attribute_file
 
-            # Between v0.8 and v0.9 the format of pickled data changed from
-            # np.ndarray to pd.DataFrame. This breaks some backwards compatibility,
-            # e.g. for `run_model_on_task`. If a local file still exists with
-            # np.ndarray data, we reprocess the data file to store a pickled
-            # pd.DataFrame blob. See also #646.
-            if isinstance(data, pd.DataFrame) or scipy.sparse.issparse(data):
-                logger.debug("Data pickle file already exists and is up to date.")
-                return data_pickle_file, data_feather_file, feather_attribute_file
+            logger.debug("Data feather file already exists and is up to date.")
+            return data_pickle_file, data_feather_file, feather_attribute_file
 
         # At this point either the pickle file does not exist, or it had outdated formatting.
         # We parse the data from arff again and populate the cache with a recent pickle file.
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 5dcdd5992..a29d56ea2 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1320,7 +1320,7 @@ def test_list_qualities(self):
     def test_get_dataset_cache_format_pickle(self):
         # Feather format is default and tested by all other cases
         # this test case checks if pickle option works
-        dataset = openml.datasets.get_dataset(1, cache_format='feather')
+        dataset = openml.datasets.get_dataset(1, cache_format='pickle')
         self.assertEqual(type(dataset), OpenMLDataset)
         self.assertEqual(dataset.name, 'anneal')
         self.assertGreater(len(dataset.features), 1)
@@ -1328,5 +1328,6 @@ def test_get_dataset_cache_format_pickle(self):
 
         X, y, categorical, attribute_names = dataset.get_data()
         self.assertIsInstance(X, pd.DataFrame)
+        self.assertEqual(X.shape, (898, 39))
         self.assertEqual(len(categorical), X.shape[1])
         self.assertEqual(len(attribute_names), X.shape[1])

From 865d4dc2ef441390c526f332adab809352ab52a8 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 15 Jan 2020 09:26:02 +0100
Subject: [PATCH 26/37] add comments

---
 openml/datasets/dataset.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 724acb48d..9476abc33 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -446,7 +446,8 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         # We parse the data from arff again and populate the cache with a recent pickle file.
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
-        if self.cache_format == "feather" and type(X) != scipy.sparse.csr.csr_matrix:
+        # Feather format does not work for sparse datasets, so we use pickle for sparse datasets
+        if self.cache_format == "feather" and type(X) != scipy.sparse.csr_matrix:
             logger.info("feather write")
             feather.write_feather(X, data_feather_file)
             with open(feather_attribute_file, "wb") as fh:

From 701496f7ecbd3e49041b5161b886cb092fa8749e Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 22 Jan 2020 16:08:09 +0100
Subject: [PATCH 27/37] change default caching

---
 openml/datasets/dataset.py                    | 10 ++++------
 openml/datasets/functions.py                  | 10 +++++-----
 setup.py                                      |  1 -
 tests/test_datasets/test_dataset_functions.py |  4 ++--
 4 files changed, 11 insertions(+), 14 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 9476abc33..745818ac8 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -7,8 +7,6 @@
 import logging
 import os
 import pickle
-import pyarrow.feather as feather
-
 from typing import List, Optional, Union, Tuple, Iterable, Dict
 
 import arff
@@ -103,7 +101,7 @@ class OpenMLDataset(OpenMLBase):
         Serialized arff dataset string.
     """
     def __init__(self, name, description, format=None,
-                 data_format='arff', cache_format='feather',
+                 data_format='arff', cache_format='pickle',
                  dataset_id=None, version=None,
                  creator=None, contributor=None, collection_date=None,
                  upload_date=None, language=None, licence=None,
@@ -433,7 +431,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         elif os.path.exists(data_feather_file) and self.cache_format == 'feather':
             # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
             try:
-                data = feather.read_feather(data_feather_file)
+                data = pd.read_feather(data_feather_file)
             except EOFError:
                 # The file is likely corrupt, see #780.
                 # We deal with this when loading the data in `_load_data`.
@@ -449,7 +447,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         # Feather format does not work for sparse datasets, so we use pickle for sparse datasets
         if self.cache_format == "feather" and type(X) != scipy.sparse.csr_matrix:
             logger.info("feather write")
-            feather.write_feather(X, data_feather_file)
+            X.to_feather(data_feather_file)
             with open(feather_attribute_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
@@ -476,7 +474,7 @@ def _load_data(self):
         try:
             if self.cache_format == 'feather':
                 logger.info("feather load data")
-                data = feather.read_feather(self.data_feather_file)
+                data = pd.read_feather(self.data_feather_file)
 
                 with open(self.feather_attribute_file, "rb") as fh:
                     categorical, attribute_names = pickle.load(fh)
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index b5a0decd1..f4e377cb2 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -452,7 +452,7 @@ def get_dataset(
     download_data: bool = True,
     version: int = None,
     error_if_multiple: bool = False,
-    cache_format: str = 'feather'
+    cache_format: str = 'pickle'
 ) -> OpenMLDataset:
     """ Download the OpenML dataset representation, optionally also download actual data file.
 
@@ -480,10 +480,10 @@ def get_dataset(
         If no version is specified, retrieve the least recent still active version.
     error_if_multiple : bool, optional (default=False)
         If ``True`` raise an error if multiple datasets are found with matching criteria.
-    cache_format : str, optional (default='feather)
+    cache_format : str, optional (default='pickle')
         Format for caching the dataset - may be feather or pickle
-        Note that the default 'feather' option may load slower than pickle when
-        no.of.cols is very high.
+        Note that the default 'pickle' option may load slower than feather when
+        no.of.rows is very high.
     Returns
     -------
     dataset : :class:`openml.OpenMLDataset`
@@ -982,7 +982,7 @@ def _create_dataset_from_description(
         features: Dict,
         qualities: List,
         arff_file: str = None,
-        cache_format: str = 'feather'
+        cache_format: str = 'pickle'
 ) -> OpenMLDataset:
     """Create a dataset object from a description dict.
 
diff --git a/setup.py b/setup.py
index ad022d129..2f7b0c2ed 100644
--- a/setup.py
+++ b/setup.py
@@ -52,7 +52,6 @@
                      'pandas>=0.19.2',
                      'scipy>=0.13.3',
                      'numpy>=1.6.2',
-                     'pyarrow>=0.15.1'
                  ],
                  extras_require={
                      'test': [
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index a29d56ea2..1d75f4b43 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1318,9 +1318,9 @@ def test_list_qualities(self):
         self.assertEqual(all([isinstance(q, str) for q in qualities]), True)
 
     def test_get_dataset_cache_format_pickle(self):
-        # Feather format is default and tested by all other cases
+        # Feather format cant be tested without installing pyarrow
         # this test case checks if pickle option works
-        dataset = openml.datasets.get_dataset(1, cache_format='pickle')
+        dataset = openml.datasets.get_dataset(1)
         self.assertEqual(type(dataset), OpenMLDataset)
         self.assertEqual(dataset.name, 'anneal')
         self.assertGreater(len(dataset.features), 1)

From f68989744d83bb5296ed9264c3dc5a484d12f5a6 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Mon, 27 Jan 2020 14:19:40 +0100
Subject: [PATCH 28/37] pip version

---
 appveyor.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/appveyor.yml b/appveyor.yml
index dc4402b67..4370b2010 100644
--- a/appveyor.yml
+++ b/appveyor.yml
@@ -17,7 +17,7 @@ matrix:
 install:
   # Miniconda is pre-installed in the worker build
   - "SET PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
-  - "python -m pip install -U pip"
+  - "python -m pip install -U pip==19.3.1"
 
   # Check that we have the expected version and architecture for Python
   - "python --version"

From 74f359e4b719368e07f40ed40dcbb7c80f8c44ff Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 29 Jan 2020 11:55:28 +0100
Subject: [PATCH 29/37] review comment fixes

---
 doc/progress.rst                              |  1 +
 openml/datasets/dataset.py                    | 17 +++++++++--------
 openml/datasets/functions.py                  |  3 ++-
 setup.py                                      |  1 +
 tests/test_datasets/test_dataset_functions.py | 15 +++++++++++++++
 5 files changed, 28 insertions(+), 9 deletions(-)

diff --git a/doc/progress.rst b/doc/progress.rst
index 95455f49b..681c85fa1 100644
--- a/doc/progress.rst
+++ b/doc/progress.rst
@@ -15,6 +15,7 @@ Changelog
   logging to console and file.
 * MAINT #767: Source distribution installation is now unit-tested.
 * MAINT #865: OpenML no longer bundles test files in the source distribution.
+* ADD #894: Support caching of datasets using feather format as an option.
 
 0.10.2
 ~~~~~~
diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 745818ac8..95b646a6e 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -36,7 +36,7 @@ class OpenMLDataset(OpenMLBase):
         Description of the dataset.
     format : str
         Format of the dataset which can be either 'arff' or 'sparse_arff'.
-    cache_format : str, optional
+    cache_format : str
         Format for caching the dataset which can be either 'feather' or 'pickle'.
     dataset_id : int, optional
         Id autogenerated by the server.
@@ -131,7 +131,8 @@ def __init__(self, name, description, format=None,
         self.version = int(version) if version is not None else None
         self.description = description
         if cache_format not in ['feather', 'pickle']:
-            raise ValueError("cache_format must be one of 'feather' or 'pickle'")
+            raise ValueError("cache_format must be one of 'feather' or 'pickle. "
+                             "Invalid format specified: {}".format(cache_format))
 
         self.cache_format = cache_format
         if format is None:
@@ -409,7 +410,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         """ Parse the arff and pickle the result. Update any old pickle objects. """
         data_pickle_file = data_file.replace('.arff', '.pkl.py3')
         data_feather_file = data_file.replace('.arff', '.feather')
-        feather_attribute_file = data_file.replace('.arff', '_attribute.pkl.py3')
+        feather_attribute_file = data_file.replace('.arff', '.feather.attributes.pkl.py3')
         if os.path.exists(data_pickle_file) and self.cache_format == 'pickle':
             # Load the data to check if the pickle file is outdated (i.e. contains numpy array)
             with open(data_pickle_file, "rb") as fh:
@@ -445,13 +446,13 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         # Feather format does not work for sparse datasets, so we use pickle for sparse datasets
-        if self.cache_format == "feather" and type(X) != scipy.sparse.csr_matrix:
-            logger.info("feather write")
+        if self.cache_format == "feather" and scipy.sparse.issparse(X):
+            logger.info("feather write {}".format(self.name))
             X.to_feather(data_feather_file)
             with open(feather_attribute_file, "wb") as fh:
                 pickle.dump((categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
         else:
-            logger.info("pickle write")
+            logger.info("pickle write {}".format(self.name))
             self.cache_format = 'pickle'
             with open(data_pickle_file, "wb") as fh:
                 pickle.dump((X, categorical, attribute_names), fh, pickle.HIGHEST_PROTOCOL)
@@ -473,13 +474,13 @@ def _load_data(self):
 
         try:
             if self.cache_format == 'feather':
-                logger.info("feather load data")
+                logger.info("feather load data {}".format(self.name))
                 data = pd.read_feather(self.data_feather_file)
 
                 with open(self.feather_attribute_file, "rb") as fh:
                     categorical, attribute_names = pickle.load(fh)
             else:
-                logger.info("pickle load data")
+                logger.info("pickle load data {}".format(self.name))
                 with open(self.data_pickle_file, "rb") as fh:
                     data, categorical, attribute_names = pickle.load(fh)
         except EOFError:
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index f4e377cb2..de0501dad 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -490,7 +490,8 @@ def get_dataset(
         The downloaded dataset.
     """
     if cache_format not in ['feather', 'pickle']:
-        raise ValueError("cache_format must be one of 'feather' or 'pickle'")
+        raise ValueError("cache_format must be one of 'feather' or 'pickle. "
+                         "Invalid format specified: {}".format(cache_format))
 
     if isinstance(dataset_id, str):
         try:
diff --git a/setup.py b/setup.py
index 2f7b0c2ed..06be0c307 100644
--- a/setup.py
+++ b/setup.py
@@ -64,6 +64,7 @@
                          'nbformat',
                          'oslo.concurrency',
                          'flaky',
+                         'pyarrow'
                      ],
                      'examples': [
                          'matplotlib',
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 1d75f4b43..6507d9105 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1331,3 +1331,18 @@ def test_get_dataset_cache_format_pickle(self):
         self.assertEqual(X.shape, (898, 39))
         self.assertEqual(len(categorical), X.shape[1])
         self.assertEqual(len(attribute_names), X.shape[1])
+
+    def test_get_dataset_cache_format_feather(self):
+        # Feather format cant be tested without installing pyarrow
+        # this test case checks if pickle option works
+        dataset = openml.datasets.get_dataset('iris', cache_format='feather')
+        self.assertEqual(type(dataset), OpenMLDataset)
+        self.assertEqual(dataset.name, 'iris')
+        self.assertGreater(len(dataset.features), 1)
+        self.assertGreater(len(dataset.qualities), 4)
+
+        X, y, categorical, attribute_names = dataset.get_data()
+        self.assertIsInstance(X, pd.DataFrame)
+        self.assertEqual(X.shape, (150, 5))
+        self.assertEqual(len(categorical), X.shape[1])
+        self.assertEqual(len(attribute_names), X.shape[1])
\ No newline at end of file

From 19272e561ec58bc9f843d13ce0a5688b629b3672 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 29 Jan 2020 12:15:10 +0100
Subject: [PATCH 30/37] newline

---
 tests/test_datasets/test_dataset_functions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 6507d9105..6b31afe64 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1345,4 +1345,4 @@ def test_get_dataset_cache_format_feather(self):
         self.assertIsInstance(X, pd.DataFrame)
         self.assertEqual(X.shape, (150, 5))
         self.assertEqual(len(categorical), X.shape[1])
-        self.assertEqual(len(attribute_names), X.shape[1])
\ No newline at end of file
+        self.assertEqual(len(attribute_names), X.shape[1])

From 09a5469b7f6de826082e365689db55633bcf7163 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Wed, 29 Jan 2020 15:38:51 +0100
Subject: [PATCH 31/37] fix if condition

---
 openml/datasets/dataset.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 95b646a6e..1fed77e92 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -112,6 +112,7 @@ def __init__(self, name, description, format=None,
                  paper_url=None, update_comment=None,
                  md5_checksum=None, data_file=None, features=None,
                  qualities=None, dataset=None):
+        print(cache_format)
         if dataset_id is None:
             if description and not re.match("^[\x00-\x7F]*$", description):
                 # not basiclatin (XSD complains)
@@ -446,7 +447,8 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         # Feather format does not work for sparse datasets, so we use pickle for sparse datasets
-        if self.cache_format == "feather" and scipy.sparse.issparse(X):
+        print(self.cache_format)
+        if self.cache_format == "feather" and not scipy.sparse.issparse(X):
             logger.info("feather write {}".format(self.name))
             X.to_feather(data_feather_file)
             with open(feather_attribute_file, "wb") as fh:

From f0da5a17060a71a7002902f4437871f65e3845f2 Mon Sep 17 00:00:00 2001
From: Sahithya Ravi <44670788+sahithyaravi1493@users.noreply.github.com>
Date: Mon, 3 Feb 2020 09:20:54 +0100
Subject: [PATCH 32/37] Update install.sh

---
 ci_scripts/install.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ci_scripts/install.sh b/ci_scripts/install.sh
index 15cb84bca..93d3e1d77 100644
--- a/ci_scripts/install.sh
+++ b/ci_scripts/install.sh
@@ -35,7 +35,7 @@ fi
 python --version
 
 if [[ "$TEST_DIST" == "true" ]]; then
-    pip install twine nbconvert jupyter_client matplotlib pytest pytest-xdist pytest-timeout \
+    pip install twine nbconvert jupyter_client matplotlib pyarrow pytest pytest-xdist pytest-timeout \
         nbformat oslo.concurrency flaky
     python setup.py sdist
     # Find file which was modified last as done in https://stackoverflow.com/a/4561987

From ed8ca7bb362ef6add58ff0056221a6db89c1a8fb Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Mon, 3 Feb 2020 14:10:08 +0100
Subject: [PATCH 33/37] pandas verison due to sparse data

---
 openml/datasets/dataset.py | 2 +-
 setup.py                   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 1fed77e92..4fc70076a 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -447,7 +447,7 @@ def _create_pickle_in_cache(self, data_file: str) -> Tuple[str, str, str]:
         X, categorical, attribute_names = self._parse_data_from_arff(data_file)
 
         # Feather format does not work for sparse datasets, so we use pickle for sparse datasets
-        print(self.cache_format)
+
         if self.cache_format == "feather" and not scipy.sparse.issparse(X):
             logger.info("feather write {}".format(self.name))
             X.to_feather(data_feather_file)
diff --git a/setup.py b/setup.py
index 06be0c307..61f286874 100644
--- a/setup.py
+++ b/setup.py
@@ -49,7 +49,7 @@
                      'requests',
                      'scikit-learn>=0.18',
                      'python-dateutil',  # Installed through pandas anyway.
-                     'pandas>=0.19.2',
+                     'pandas>=0.19.2, <1.0.0',
                      'scipy>=0.13.3',
                      'numpy>=1.6.2',
                  ],

From d7488f7aa4f5d49c734b546c5cbfd13c00260bcb Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 11 Feb 2020 16:54:41 +0100
Subject: [PATCH 34/37] review #2

---
 openml/datasets/dataset.py                    |  1 -
 openml/datasets/functions.py                  |  2 +-
 tests/test_datasets/test_dataset_functions.py | 17 +++++++++++++----
 3 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 4fc70076a..db4daece4 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -112,7 +112,6 @@ def __init__(self, name, description, format=None,
                  paper_url=None, update_comment=None,
                  md5_checksum=None, data_file=None, features=None,
                  qualities=None, dataset=None):
-        print(cache_format)
         if dataset_id is None:
             if description and not re.match("^[\x00-\x7F]*$", description):
                 # not basiclatin (XSD complains)
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index de0501dad..ccf9a4239 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -983,7 +983,7 @@ def _create_dataset_from_description(
         features: Dict,
         qualities: List,
         arff_file: str = None,
-        cache_format: str = 'pickle'
+        cache_format: str = 'pickle',
 ) -> OpenMLDataset:
     """Create a dataset object from a description dict.
 
diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index 6b31afe64..f6053390b 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1318,8 +1318,6 @@ def test_list_qualities(self):
         self.assertEqual(all([isinstance(q, str) for q in qualities]), True)
 
     def test_get_dataset_cache_format_pickle(self):
-        # Feather format cant be tested without installing pyarrow
-        # this test case checks if pickle option works
         dataset = openml.datasets.get_dataset(1)
         self.assertEqual(type(dataset), OpenMLDataset)
         self.assertEqual(dataset.name, 'anneal')
@@ -1333,9 +1331,20 @@ def test_get_dataset_cache_format_pickle(self):
         self.assertEqual(len(attribute_names), X.shape[1])
 
     def test_get_dataset_cache_format_feather(self):
-        # Feather format cant be tested without installing pyarrow
-        # this test case checks if pickle option works
+
         dataset = openml.datasets.get_dataset('iris', cache_format='feather')
+
+        # Check if dataset is written using feather
+        data_folder = os.path.join(openml.config.get_cache_directory(), 'datasets',
+                                   '128')
+        feather_file = os.path.join(data_folder, 'dataset.feather')
+        pickle_file = os.path.join(data_folder, 'dataset.feather.attributes.pkl.py3')
+        data = pd.read_feather(feather_file)
+        self.assertTrue(os.path.isfile(feather_file), msg='Feather file is missing')
+        self.assertTrue(os.path.isfile(pickle_file), msg='Attributes pickle file is missing')
+        self.assertEqual(data.shape, (150, 5))
+
+        # Check if get_data is able to retrieve feather data
         self.assertEqual(type(dataset), OpenMLDataset)
         self.assertEqual(dataset.name, 'iris')
         self.assertGreater(len(dataset.features), 1)

From d09c4314941beecc22420fcf1cbaa2174aa29d58 Mon Sep 17 00:00:00 2001
From: Sahithya Ravi <44670788+sahithyaravi1493@users.noreply.github.com>
Date: Mon, 17 Feb 2020 13:00:08 +0100
Subject: [PATCH 35/37] Update appveyor.yml

---
 appveyor.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/appveyor.yml b/appveyor.yml
index 4370b2010..dc4402b67 100644
--- a/appveyor.yml
+++ b/appveyor.yml
@@ -17,7 +17,7 @@ matrix:
 install:
   # Miniconda is pre-installed in the worker build
   - "SET PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
-  - "python -m pip install -U pip==19.3.1"
+  - "python -m pip install -U pip"
 
   # Check that we have the expected version and architecture for Python
   - "python --version"

From bf44356b984fe9b4bf19c02baf64d5e165218caf Mon Sep 17 00:00:00 2001
From: Sahithya Ravi <44670788+sahithyaravi1493@users.noreply.github.com>
Date: Tue, 18 Feb 2020 14:28:24 +0100
Subject: [PATCH 36/37] Update appveyor.yml

---
 appveyor.yml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/appveyor.yml b/appveyor.yml
index dc4402b67..da372a895 100644
--- a/appveyor.yml
+++ b/appveyor.yml
@@ -5,10 +5,10 @@ environment:
 #     CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\appveyor\\scikit-learn-contrib\\run_with_env.cmd"
 
  matrix:
-    - PYTHON: "C:\\Python35-x64"
-      PYTHON_VERSION: "3.5"
+    - PYTHON: "C:\\Python3-x64"
+      PYTHON_VERSION: "3.6"
       PYTHON_ARCH: "64"
-      MINICONDA: "C:\\Miniconda35-x64"
+      MINICONDA: "C:\\Miniconda36-x64"
 
 matrix:
     fast_finish: true

From e6bc0b02649a2e5803602df1db2c5db4b7233772 Mon Sep 17 00:00:00 2001
From: sahithyaravi1493 <sahithyaravi1493@gmail.com>
Date: Tue, 18 Feb 2020 23:04:50 +0100
Subject: [PATCH 37/37] rename cache dir

---
 tests/test_datasets/test_dataset_functions.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/tests/test_datasets/test_dataset_functions.py b/tests/test_datasets/test_dataset_functions.py
index f6053390b..5e07cbe04 100644
--- a/tests/test_datasets/test_dataset_functions.py
+++ b/tests/test_datasets/test_dataset_functions.py
@@ -1332,13 +1332,13 @@ def test_get_dataset_cache_format_pickle(self):
 
     def test_get_dataset_cache_format_feather(self):
 
-        dataset = openml.datasets.get_dataset('iris', cache_format='feather')
+        dataset = openml.datasets.get_dataset(128, cache_format='feather')
 
-        # Check if dataset is written using feather
-        data_folder = os.path.join(openml.config.get_cache_directory(), 'datasets',
-                                   '128')
-        feather_file = os.path.join(data_folder, 'dataset.feather')
-        pickle_file = os.path.join(data_folder, 'dataset.feather.attributes.pkl.py3')
+        # Check if dataset is written to cache directory using feather
+        cache_dir = openml.config.get_cache_directory()
+        cache_dir_for_id = os.path.join(cache_dir, 'datasets', '128')
+        feather_file = os.path.join(cache_dir_for_id, 'dataset.feather')
+        pickle_file = os.path.join(cache_dir_for_id, 'dataset.feather.attributes.pkl.py3')
         data = pd.read_feather(feather_file)
         self.assertTrue(os.path.isfile(feather_file), msg='Feather file is missing')
         self.assertTrue(os.path.isfile(pickle_file), msg='Attributes pickle file is missing')