meta
This category contains 34 nodes.
Decorate (3.7)
DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples
END (3.7)
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, […]
EnsembleSelection (3.7)
Combines several classifiers using the ensemble selection method
FilteredClassifier (3.7)
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter
Grading (3.7)
Implements Grading
LogitBoost (3.7)
Class for performing additive logistic regression
MultiBoostAB (3.7)
Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming […]
MultiClassClassifier (3.7)
A metaclassifier for handling multi-class datasets with 2-class classifiers
MultiClassClassifierUpdateable (3.7)
A metaclassifier for handling multi-class datasets with 2-class classifiers
MultiScheme (3.7)
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data