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 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
 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.
 



Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.