This category contains 16 nodes.

M5P (3.7) 


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 […]