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

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

Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) a…

Class for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…

This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos: MetaCost: A general me…

Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost t…

A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error co…

Class for selecting a classifier from among several using cross validation on the training data or the performance on the trainin…

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure. …

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure. F…

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random tree structure. For more info, …

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 s…

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

A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized. The…

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

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…

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…