Uses of Class
weka.classifiers.SingleClassifierEnhancer

Packages that use SingleClassifierEnhancer
weka.classifiers   
weka.classifiers.lazy   
weka.classifiers.meta   
 

Uses of SingleClassifierEnhancer in weka.classifiers
 

Subclasses of SingleClassifierEnhancer in weka.classifiers
 class IteratedSingleClassifierEnhancer
          Abstract utility class for handling settings common to meta classifiers that build an ensemble 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 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
 class LWL
          Locally-weighted learning.
 

Uses of SingleClassifierEnhancer in weka.classifiers.meta
 

Subclasses of SingleClassifierEnhancer in weka.classifiers.meta
 class AdaBoostM1
          Class for boosting a classifier using Freund & Schapire's Adaboost M1 method.
 class Bagging
          Class for bagging a classifier.
 class ClassificationViaRegression
          Class for doing classification using regression methods.
 class CVParameterSelection
          Class for performing parameter selection by cross-validation for any classifier.
 class END
          Class for creating a committee of random classifiers.
 class LogitBoost
          Class for performing additive logistic regression..
 class MetaCost
          This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos (1999).
 class MultiBoostAB
          Class for boosting a classifier using the MultiBoosting method.
 class RandomCommittee
          Class for creating a committee of random classifiers.
 class RegressionByDiscretization
          Class for a regression scheme that employs any distribution classifier on a copy of the data that has the class attribute (equal-width) discretized.