There are 5701 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as […]
A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.
Combines several classifiers using the stacking method.
Implements StackingC (more efficient version of stacking).
A metaclassifier that selecting a mid-point threshold on the probability output by a 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.