"In contrast to the original paper, the generated trees are always fitted with the same maximum depth. In the original implementation the maximum depth of the tree are drawn from a distribution each time"
Is this just an artefact of the sklearn implementation of random forest or is there a different motivation behind it? Thanks.
"In contrast to the original paper, the generated trees are always fitted with the same maximum depth. In the original implementation the maximum depth of the tree are drawn from a distribution each time"
Is this just an artefact of the sklearn implementation of random forest or is there a different motivation behind it? Thanks.