Node Connectivity

There are 5112 nodes that can be used as predessesor for a node with an input port of type Generic Port.

MultiBoostAB (3.6) (legacy) 

Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming […]

MultiClassClassifier (3.6) (legacy) 

A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for […]

MultiScheme (3.6) (legacy) 

Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data. Performance is […]

OrdinalClassClassifier (3.6) (legacy) 

Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: […]

RacedIncrementalLogitBoost (3.6) (legacy) 

Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, […]

RandomCommittee (3.6) (legacy) 

Class for building an ensemble of randomizable base classifiers. Each base classifiers is built using a different random number seed (but based one the same […]

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 […]