Node Connectivity
There are 4972 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
LogitBoost (3.6) (legacy)
Class for performing additive logistic regression. This class performs classification using a regression scheme as the base learner, and can handle […]
MetaCost (3.6) (legacy)
This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos: MetaCost: A general method for making […]
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 […]