Class for bagging a classifier to reduce variance Can do classification and regression depending on the base learner. For more in…

A simple meta-classifier that uses a clusterer for classification For cluster algorithms that use a fixed number of clusterers, l…

Class for doing classification using regression methods Class is binarized and one regression model is built for each class value…

A metaclassifier that makes its base classifier cost-sensitive Two methods can be used to introduce cost-sensitivity: reweighting…

Class for performing parameter selection by cross-validation for any classifier. For more information, see: R Kohavi (1995).Wrapp…

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…

Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see:…

Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe F…

Class for building an ensemble of randomizable base classifiers Each base classifiers is built using a different random number se…

This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generali…

Class for boosting a 2-class classifier using the Real Adaboost method. For more information, see J Friedman, T.Hastie, R. Tibshi…

A regression scheme that employs any classifier on a copy of the data that has the class attribute discretized The predicted valu…

DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examp…

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For m…

Combines several classifiers using the ensemble selection method For more information, see: Caruana, Rich, Niculescu, Alex, Crew,…

Class for running an arbitrary classifier on data that has been passed through an arbitrary filter Like the classifier, the struc…

Implements Grading The base classifiers are "graded". For more information, see A.K.Seewald, J. Fuernkranz: An Evaluation of Grad…

Class for construction a Rotation Forest Can do classification and regression depending on the base learner. For more information…

Combines several classifiers using the stacking method Can do classification or regression. For more information, see David H. Wo…

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