Uses of Interface
weka.core.Randomizable

Packages that use Randomizable

weka.classifiers
weka.classifiers.meta
weka.classifiers.trees

Uses of Randomizable in weka.classifiers

Classes in weka.classifiers that implement Randomizable

class	RandomizableClassifier Abstract utility class for handling settings common to randomizable classifiers.
class	RandomizableIteratedSingleClassifierEnhancer Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
class	RandomizableMultipleClassifiersCombiner Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.
class	RandomizableSingleClassifierEnhancer Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.

Uses of Randomizable in weka.classifiers.meta

Subinterfaces of Randomizable in weka.classifiers.meta

interface

NestedDichotomy Marker-interface for nested dichotomies usable by END.

Classes in weka.classifiers.meta that implement Randomizable

class	AdaBoostM1 Class for boosting a classifier using Freund & Schapire's Adaboost M1 method.
class	Bagging Class for bagging a classifier.
class	CVParameterSelection Class for performing parameter selection by cross-validation for any classifier.
class	END Class for creating a committee of random classifiers.
class	Grading Implements Grading.
class	HND Class to create levelwise NDs with respect to a given hierarchy of classes.
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	MultiScheme Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.
class	ND
class	RandomCommittee Class for creating a committee of random classifiers.
class	Stacking Implements stacking.
class	StackingC Implements StackingC (more efficient version of stacking).
class	TreeBasedMultiClassClassifier Class that represents and builds a classifier tree.

Uses of Randomizable in weka.classifiers.trees

Classes in weka.classifiers.trees that implement Randomizable

class	RandomForest Class for constructing random forests.
class	RandomTree Class for constructing a tree that considers K random features at each node.