trees
This category contains 16 nodes.
M5P (3.7)
M5Base
NBTree (3.7)
Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of […]
RandomForest (3.7)
Class for constructing a forest of random trees. For more information see: Leo Breiman (2001)
RandomTree (3.7)
Class for constructing a tree that considers K randomly chosen attributes at each node
REPTree (3.7)
Fast decision tree learner
SimpleCart (3.7)
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split […]