Uses of Class
weka.classifiers.SingleClassifierEnhancer
Packages that use SingleClassifierEnhancer
Package
Description
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Uses of SingleClassifierEnhancer in weka.classifiers
Subclasses of SingleClassifierEnhancer in weka.classifiersModifier and TypeClassDescriptionclassAbstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.classAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.classAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.classAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.classAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner. -
Uses of SingleClassifierEnhancer in weka.classifiers.lazy
Subclasses of SingleClassifierEnhancer in weka.classifiers.lazy -
Uses of SingleClassifierEnhancer in weka.classifiers.meta
Subclasses of SingleClassifierEnhancer in weka.classifiers.metaModifier and TypeClassDescriptionclassClass for boosting a nominal class classifier using the Adaboost M1 method.classMeta classifier that enhances the performance of a regression base classifier.classDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.classClass for bagging a classifier to reduce variance.classClass for doing classification using regression methods.classA metaclassifier that makes its base classifier cost sensitive.classClass for performing parameter selection by cross-validation for any classifier.
For more information, see:
R.classClass for running an arbitrary classifier on data that has been passed through an arbitrary filter.classClass for performing additive logistic regression.classA metaclassifier for handling multi-class datasets with 2-class classifiers.classA metaclassifier for handling multi-class datasets with 2-class classifiers.classClass for building an ensemble of randomizable base classifiers.classClass for running an arbitrary classifier on data that has been passed through an arbitrary filter.classThis method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.classA regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.classGeneric wrapper around any classifier to enable weighted instances support.
Uses resampling with weights if the base classifier is not implementing the weka.core.WeightedInstancesHandler interface and there are instance weights other 1.0 present. -
Uses of SingleClassifierEnhancer in weka.classifiers.misc
Subclasses of SingleClassifierEnhancer in weka.classifiers.miscModifier and TypeClassDescriptionclassWrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with and the incoming test instances' structure. -
Uses of SingleClassifierEnhancer in weka.classifiers.trees
Subclasses of SingleClassifierEnhancer in weka.classifiers.treesModifier and TypeClassDescriptionclassClass for constructing a forest of random trees.
For more information see:
Leo Breiman (2001).