Uses of Interface
weka.core.Drawable

Packages that use Drawable

weka.classifiers.bayes
weka.classifiers.meta
weka.classifiers.trees
weka.classifiers.trees.j48
weka.clusterers

Uses of Drawable in weka.classifiers.bayes

Classes in weka.classifiers.bayes that implement Drawable

class	BayesNet Base class for a Bayes Network classifier.
class	BayesNetB Class for a Bayes Network classifier based on a hill climbing algorithm for learning structure as described in Buntine, W. (1991).
class	BayesNetB2 Class for a Bayes Network classifier based on Buntines hill climbing algorithm for learning structure, but augmented to allow arc reversal as an operation.
class	BayesNetK2 Class for a Bayes Network classifier based on K2 for learning structure.

Uses of Drawable in weka.classifiers.meta

Classes in weka.classifiers.meta that implement Drawable

class	AttributeSelectedClassifier Class for running an arbitrary classifier on data that has been reduced through attribute selection.
class	CostSensitiveClassifier This metaclassifier makes its base classifier cost-sensitive.
class	CVParameterSelection Class for performing parameter selection by cross-validation for any classifier.
class	FilteredClassifier Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
class	ThresholdSelector Class for selecting a threshold on a probability output by a distribution classifier.

Uses of Drawable in weka.classifiers.trees

Classes in weka.classifiers.trees that implement Drawable

class	ADTree Class for generating an alternating decision tree.
class	J48 Class for generating an unpruned or a pruned C4.5 decision tree.
class	LMT Class for "logistic model tree" classifier.
class	M5P M5P.
class	REPTree Fast decision tree learner.
class	UserClassifier Class for generating an user defined decision tree.

Uses of Drawable in weka.classifiers.trees.j48

Classes in weka.classifiers.trees.j48 that implement Drawable

class	C45PruneableClassifierTree Class for handling a tree structure that can be pruned using C4.5 procedures.
class	ClassifierTree Class for handling a tree structure used for classification.
class	PruneableClassifierTree Class for handling a tree structure that can be pruned using a pruning set.

Uses of Drawable in weka.clusterers

Classes in weka.clusterers that implement Drawable

class

Cobweb Class implementing the Cobweb and Classit clustering algorithms.