There are 92 nodes that can be used as predessesor for a node with an input port of type Weka Classifier.
Class for combining classifiers. Different combinations of probability estimates for classification are available.
Fuzzy Lattice Reasoning Classifier (FLR) v5.0
Class implementing a HyperPipe classifier.
This class is an implementation of the minimal and maximal extension.
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.
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