Table — NodePit

There are 2743 nodes that can be used as successor for a node with an output port of type

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.

Implements Grading. The base classifiers are "graded".

Node Connectivity