There are 5562 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Class for constructing an unpruned decision tree based on the ID3 algorithm
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