There are 92 nodes that can be used as predessesor for a node with an input port of type Weka Classifier.
A metaclassifier for handling multi-class datasets with 2-class classifiers.
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.
Meta classifier that allows standard classification algorithms to be applied to ordinal class problems.
Classifier for incremental learning of large datasets by way of racing logit-boosted committees.
Class for building an ensemble of randomizable base classifiers.
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.
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