Table — NodePit

There are 2933 nodes that can be used as successor for a node with an output port of type

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.

A metaclassifier for handling multi-class datasets with 2-class classifiers.

Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.

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