There are 5640 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
M5Base. Implements base routines for generating M5 Model trees and rules.
Class for generating a decision tree with naive Bayes classifiers at the leaves.
Fast decision tree learner.
Class for constructing a forest of random trees.
Class for constructing a tree that considers K randomly chosen attributes at each node.
Class implementing minimal cost-complexity pruning.
Interactively classify through visual means.
This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels.
Class for building and using a simple decision table majority classifier.
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