Uses of Interface
weka.classifiers.AbstainingClassifier

Packages that use AbstainingClassifier

Package	Description
weka.classifiers.lazy
weka.classifiers.meta

Uses of AbstainingClassifier in weka.classifiers.lazy

Classes in weka.classifiers.lazy that implement AbstainingClassifier

Modifier and Type	Class	Description
class	AbstainingLWL	LWL variant that supports abstaining if the base classifier is able to.

Uses of AbstainingClassifier in weka.classifiers.meta

Classes in weka.classifiers.meta that implement AbstainingClassifier

Modifier and Type	Class	Description
class	AbstainAttributePercentile	Only predict if attribute value within percentile range.
class	AbstainAverage	Average base classifiers, abstain if difference outside thresholds Valid options are:
class	AbstainAverageWithClassifierWeights	Average base classifiers, abstain if difference outside thresholds Valid options are:
class	AbstainingClassifierWrapper	Wraps an abstaining classifier and allows turning on/of abstaining.
class	AbstainLeastMedianSq	Finds the base classifier with the best least median squared error.
class	AbstainMinimumProbability	Abstains if the probability of the chosen class label is below the specified threshold.
class	AbstainVote	Finds the base classifier with the best least median squared error.
class	Consensus	Outputs predictions only if the ensemble agrees.
class	ConsensusOrVote	If the required minimum number of classifiers of the ensemble agree on a label, then this label is predicted.
class	FilteredClassifierExt	Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
class	MinMaxLimits	Allows to influence the handling of lower/upper limits of the built classifier when making predictions. The following types of handling are available: AS_IS, MANUAL, CLASS_RANGE Details on the types: - AS_IS: prediction does not get changed - MANUAL: applies the manual limit, ie at most this limit is output - CLASS_RANGE: applies the percentage leeway to the class attribute range of the training set to determine the actual limit value.
class	ThreadSafeClassifierWrapper	Wraps an abstaining classifier and allows turning on/of abstaining.