Further below in the tutorial, predictions for the iris dataset are prepared.
# random class probabilities (Iris has 150 samples and 3 classes):
r = np.random.rand(150 * n_repeats, 3)
The iris dataset contains 4 classes. It's nothing major, just wanted to mention it.
Description
In section 2. Using the flow of https://openml.github.io/openml-python/main/examples/30_extended/custom_flow_.html#sphx-glr-examples-30-extended-custom-flow-py the comment for
task_id=1965references# Iris Taskbut 1965 is actually https://test.openml.org/t/1965 which uses the anneal dataset.Further below in the tutorial, predictions for the iris dataset are prepared.
The iris dataset contains 4 classes. It's nothing major, just wanted to mention it.