There are 2879 nodes that can be used as successor
for a node with an output port of type Table.
Implements the isolation forest method for anomaly detection
Class for generating a pruned or unpruned C4.5 decision tree
Class for generating a grafted (pruned or unpruned) C4.5 decision tree
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves
M5Base
Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of […]
Fast decision tree learner
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
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split […]