Hi,
regarding MSE minimization vs variance reduction; it's been a few years but I
remember that we had a discussion about that, where Gilles Louppe explained
that those two are identical when I was confused about the wikipedia equation
at https://en.wikipedia.org/wiki/Decision_tree_learning#Va
Hi there,
I would like to fully understand how the Random Forest Regressor chooses how to
split the data at each node.
I understand that each tree considers a boostrap sample of the training data,
and on each split a random subset of features (using max_features) are
considered. But among thes
