Node Connectivity
There are 4972 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
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 […]
ADTree (3.6) (legacy)
Class for generating an alternating decision tree. The basic algorithm is based on: Freund, Y., Mason, L.: The alternating decision tree learning […]
BFTree (3.6) (legacy)
Class for building a best-first decision tree classifier. This class uses binary split for both nominal and numeric attributes. For missing values, the […]