You will need to add some tests to check the behaviour of the warning and catch the warnings in all tests that are expected to raise the warning.

We likely need to add a filter warning on some test fails to filter out warning

Hi @thomasjpfan , it seems like the failed test cases are scattered in a lot of different files due to the wide usage of tree models.

I'm wondering if there's a way to ignore that specific warning by using a global configuration during the CI process or we need to add filterwarnings individually in all of those files.

There looks to be only 4 files with warnings. For the following files, I suggest to update max_features to not use auto:

• sklearn/ensemble/tests/test_gradient_boosting.py
• sklearn/inspection/tests/test_partial_dependence.py
• sklearn/tests/test_docstring_parameters.py

For sklearn/tree/tests/test_tree.py do a pytest.mark.filterwarnings on the file.

I just figured that I forgot to change the default value in the __init__ function for ExtraTreeClassifier and ExtraTreeRegressor. Now it's updated.