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"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.
The text was updated successfully, but these errors were encountered:
"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.
The text was updated successfully, but these errors were encountered: