Uses of Class
weka.classifiers.IteratedSingleClassifierEnhancer

Packages that use IteratedSingleClassifierEnhancer

Package	Description
weka.classifiers
weka.classifiers.meta
weka.classifiers.trees

Uses of IteratedSingleClassifierEnhancer in weka.classifiers

Subclasses of IteratedSingleClassifierEnhancer in weka.classifiers

Modifier and Type	Class	Description
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.

Uses of IteratedSingleClassifierEnhancer in weka.classifiers.meta

Subclasses of IteratedSingleClassifierEnhancer in weka.classifiers.meta

Modifier and Type	Class	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	Bagging	Class for bagging a classifier to reduce variance.
class	LogitBoost	Class for performing additive logistic regression.
class	RandomCommittee	Class for building an ensemble of randomizable base classifiers.
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.

Uses of IteratedSingleClassifierEnhancer in weka.classifiers.trees

Subclasses of IteratedSingleClassifierEnhancer in weka.classifiers.trees

Modifier and Type	Class	Description
class	RandomForest	Class for constructing a forest of random trees. For more information see: Leo Breiman (2001).