Uses of Class
weka.classifiers.SingleClassifierEnhancer

Packages that use SingleClassifierEnhancer

Package	Description
weka.classifiers
weka.classifiers.lazy
weka.classifiers.meta
weka.classifiers.misc

Uses of SingleClassifierEnhancer in weka.classifiers

Subclasses of SingleClassifierEnhancer in weka.classifiers

Modifier and Type	Class and Description
class	IteratedSingleClassifierEnhancer Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.
class	ParallelIteratedSingleClassifierEnhancer Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.
class	RandomizableIteratedSingleClassifierEnhancer Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
class	RandomizableParallelIteratedSingleClassifierEnhancer Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.
class	RandomizableSingleClassifierEnhancer Abstract 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 and Description
class	LWL Locally weighted learning.

Uses of SingleClassifierEnhancer in weka.classifiers.meta

Subclasses of SingleClassifierEnhancer in weka.classifiers.meta

Modifier and Type	Class and Description
class	AdaBoostM1 Class for boosting a nominal class classifier using the Adaboost M1 method.
class	AdditiveRegression Meta classifier that enhances the performance of a regression base classifier.
class	AttributeSelectedClassifier Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
class	Bagging Class for bagging a classifier to reduce variance.
class	ClassificationViaRegression Class for doing classification using regression methods.
class	CostSensitiveClassifier A metaclassifier that makes its base classifier cost-sensitive.
class	CVParameterSelection Class for performing parameter selection by cross-validation for any classifier. For more information, see: R.
class	FilteredClassifier Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
class	LogitBoost Class for performing additive logistic regression.
class	MultiClassClassifier A metaclassifier for handling multi-class datasets with 2-class classifiers.
class	MultiClassClassifierUpdateable A metaclassifier for handling multi-class datasets with 2-class classifiers.
class	RandomCommittee Class for building an ensemble of randomizable base classifiers.
class	RandomizableFilteredClassifier Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
class	RandomSubSpace This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.
class	RegressionByDiscretization A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.
class	WeightedInstancesHandlerWrapper Generic 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 and Description
class	InputMappedClassifier Wrapper 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.