Weka Classifier — NodePit

There are 92 nodes that can be used as predessesor for a node with an input port of type

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".

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

Class for performing additive logistic regression.

This metaclassifier makes its base classifier cost-sensitive.

Class for boosting a classifier using the MultiBoosting method.

Node Connectivity