Uses of Class
weka.classifiers.SingleClassifierEnhancer
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Packages that use SingleClassifierEnhancer Package Description weka.classifiers weka.classifiers.lazy weka.classifiers.meta weka.classifiers.misc weka.classifiers.trees -
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Uses of SingleClassifierEnhancer in weka.classifiers
Subclasses of SingleClassifierEnhancer in weka.classifiers Modifier and Type Class Description classIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.classParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.classRandomizableIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.classRandomizableParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.classRandomizableSingleClassifierEnhancerAbstract 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 Modifier and Type Class Description classLWLLocally weighted learning. -
Uses of SingleClassifierEnhancer in weka.classifiers.meta
Subclasses of SingleClassifierEnhancer in weka.classifiers.meta Modifier and Type Class Description classAdaBoostM1Class for boosting a nominal class classifier using the Adaboost M1 method.classAdditiveRegressionMeta classifier that enhances the performance of a regression base classifier.classAttributeSelectedClassifierDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.classBaggingClass for bagging a classifier to reduce variance.classClassificationViaRegressionClass for doing classification using regression methods.classCostSensitiveClassifierA metaclassifier that makes its base classifier cost sensitive.classCVParameterSelectionClass for performing parameter selection by cross-validation for any classifier.
For more information, see:
R.classFilteredClassifierClass for running an arbitrary classifier on data that has been passed through an arbitrary filter.classLogitBoostClass for performing additive logistic regression.classMultiClassClassifierA metaclassifier for handling multi-class datasets with 2-class classifiers.classMultiClassClassifierUpdateableA metaclassifier for handling multi-class datasets with 2-class classifiers.classRandomCommitteeClass for building an ensemble of randomizable base classifiers.classRandomizableFilteredClassifierClass for running an arbitrary classifier on data that has been passed through an arbitrary filter.classRandomSubSpaceThis method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.classRegressionByDiscretizationA regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.classWeightedInstancesHandlerWrapperGeneric 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.misc Modifier and Type Class Description classInputMappedClassifierWrapper 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.trees Modifier and Type Class Description classRandomForestClass for constructing a forest of random trees.
For more information see:
Leo Breiman (2001).
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