meta — NodePit

Class for boosting a nominal class classifier using the Adaboost M1 method.

Meta classifier that enhances the performance of a regression base classifier.

Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.

Class for bagging a classifier to reduce variance.

Class for doing classification using regression methods.

A metaclassifier that makes its base classifier cost-sensitive.

Class for performing parameter selection by cross-validation for any classifier.

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 supplied base […]

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