Node Connectivity

There are 2898 nodes that can be used as successor for a node with an output port of type Table.

RandomSubSpace (3.6) (legacy) 

This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows […]

RegressionByDiscretization (3.6) (legacy) 

A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized. The predicted value is the […]

RotationForest (3.6) (legacy) 

Class for construction a Rotation Forest. Can do classification and regression depending on the base learner. For more information, see Juan J. […]

Stacking (3.6) (legacy) 

Combines several classifiers using the stacking method. Can do classification or regression. For more information, see David H. Wolpert (1992). Stacked […]

StackingC (3.6) (legacy) 

Implements StackingC (more efficient version of stacking). For more information, see A.K. Seewald: How to Make Stacking Better and Faster While Also […]

ThresholdSelector (3.6) (legacy) 

A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so that a given performance […]

Vote (3.6) (legacy) 

Class for combining classifiers. Different combinations of probability estimates for classification are available. For more information see: Ludmila I. […]

HyperPipes (3.6) (legacy) 

Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the […]

SerializedClassifier (3.6) (legacy) 

A wrapper around a serialized classifier model. This classifier loads a serialized models and uses it to make predictions. Warning: since the serialized […]

VFI (3.6) (legacy) 

Classification by voting feature intervals. Intervals are constucted around each class for each attribute (basically discretization). Class counts are […]