There are 3058 nodes that can be used as successor
for a node with an output port of type Table.
This class is an implementation of the Ordinal Learning Method.
This class is an implementation of the Ordinal Stochastic Dominance Learner.
Classification by voting feature intervals.
Class for generating an alternating decision tree.
Class for building a best-first decision tree classifier.
Class for building and using a decision stump.
Class for constructing an unpruned decision tree based on the ID3 algorithm.
Generates an unpruned or pruned C4.5 decision tree (WEKA).
Class for generating an alternating decision tree.
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
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