Node Connectivity
There are 2898 nodes that can be used as successor
for a node with an output port of type 
Table.
MultiBoostAB (3.7)
Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming […]
MultiClassClassifier (3.7)
A metaclassifier for handling multi-class datasets with 2-class classifiers
MultiClassClassifierUpdateable (3.7)
A metaclassifier for handling multi-class datasets with 2-class classifiers
MultiScheme (3.7)
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data
OneClassClassifier (3.7)
Performs one-class classification on a dataset. Classifier reduces the class being classified to just a single class, and learns the datawithout using any […]
OrdinalClassClassifier (3.7)
Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: A […]
RacedIncrementalLogitBoost (3.7)
Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, […]
RandomCommittee (3.7)
Class for building an ensemble of randomizable base classifiers
RandomSubSpace (3.7)
This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows […]
RealAdaBoost (3.7)
Class for boosting a 2-class classifier using the Real Adaboost method. For more information, see J