This category contains 34 nodes.
Class for boosting a nominal class classifier using the Adaboost M1 method
Meta classifier that enhances the performance of a regression base classifier
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
A simple meta-classifier that uses a clusterer for classification
Class for doing classification using regression methods
A metaclassifier that makes its base classifier cost-sensitive
Class for performing parameter selection by cross-validation for any classifier. For more information, see: R
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
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