Generic Port — NodePit

There are 5701 nodes that can be used as predessesor for a node with an input port of type

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 performing parameter selection by cross-validation for any classifier.

Class for doing classification using regression methods.

A metaclassifier that makes its base classifier cost-sensitive.

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.

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

Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.

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