Uses of Class
weka.classifiers.IteratedSingleClassifierEnhancer

Packages that use IteratedSingleClassifierEnhancer

weka.classifiers
weka.classifiers.meta

Uses of IteratedSingleClassifierEnhancer in weka.classifiers

Subclasses of IteratedSingleClassifierEnhancer in weka.classifiers

class

RandomizableIteratedSingleClassifierEnhancer Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.

Uses of IteratedSingleClassifierEnhancer in weka.classifiers.meta

Subclasses of IteratedSingleClassifierEnhancer in weka.classifiers.meta

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	Decorate DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples.
class	END A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For more info, check Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems.
class	LogitBoost Class for performing additive logistic regression.
class	MultiBoostAB Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees.
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.
class	RotationForest Class for construction a Rotation Forest.