There are 2868 nodes that can be used as successor
for a node with an output port of type Table.
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 classifier
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. For more info, check Lin Dong, […]
Combines several classifiers using the ensemble selection method
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter
Implements Grading
Class for performing additive logistic regression
Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming […]
A metaclassifier for handling multi-class datasets with 2-class classifiers
A metaclassifier for handling multi-class datasets with 2-class classifiers
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