This category contains 16 nodes.
Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of […]
Class for constructing a forest of random trees. For more information see: Leo Breiman (2001)
Class for constructing a tree that considers K randomly chosen attributes at each node
Fast decision tree learner
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split […]
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