Describe the issue linked to the documentation

The docstrings for sklearn.ensemble.RandomForestClassifier and sklearn.ensemble.RandomForestClassifier states that:

The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if bootstrap=True (default).

However, the new max_samples parameter has been added in version 0.22, so it needs updating (or removing).

Suggest a potential alternative/fix

A simple change would be to mention this new parameter and to borrow the documentation for the bootstrap parameter:

The sub-sample size is controlled with the max_samples parameter if bootstrap=True (default), otherwise the whole dataset is used to build each tree.