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hub / github.com/capitalk/treelearn / RandomizedTree

Class RandomizedTree

treelearn/randomized_tree.py:15–172  ·  view source on GitHub ↗

Decision tree which only inspects a random subset of the features at each split. Uses Gini impurity to compare possible data splits. Parameters ---------- num_features_per_node : int, optional (default = None). At each split, how many features should we consider splittin

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Callers 3

train_random_forestFunction · 0.90

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Tested by 1