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

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

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

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

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

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

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

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

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

A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so…

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

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

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

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

Class for combining classifiers. Different combinations of probability estimates for classification are available. For more infor…

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

A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier The midpoint threshold is set so …

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

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

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