Uses of Interface
weka.attributeSelection.AttributeEvaluator

Packages that use AttributeEvaluator

weka.attributeSelection

Uses of AttributeEvaluator in weka.attributeSelection

Classes in weka.attributeSelection that implement AttributeEvaluator

class	ChiSquaredAttributeEval ChiSquaredAttributeEval : Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class. Valid options are:
class	CostSensitiveAttributeEval A meta subset evaluator that makes its base subset evaluator cost-sensitive.
class	FilteredAttributeEval Class for running an arbitrary attribute evaluator on data that has been passed through an arbitrary filter (note: filters that alter the order or number of attributes are not allowed).
class	GainRatioAttributeEval GainRatioAttributeEval : Evaluates the worth of an attribute by measuring the gain ratio with respect to the class. GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). Valid options are:
class	InfoGainAttributeEval InfoGainAttributeEval : Evaluates the worth of an attribute by measuring the information gain with respect to the class. InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute). Valid options are:
class	LatentSemanticAnalysis Performs latent semantic analysis and transformation of the data.
class	OneRAttributeEval OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier. Valid options are:
class	PrincipalComponents Performs a principal components analysis and transformation of the data.
class	ReliefFAttributeEval ReliefFAttributeEval : Evaluates the worth of an attribute by repeatedly sampling an instance and considering the value of the given attribute for the nearest instance of the same and different class.
class	SVMAttributeEval SVMAttributeEval : Evaluates the worth of an attribute by using an SVM classifier.
class	SymmetricalUncertAttributeEval SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class.
class	UnsupervisedAttributeEvaluator Abstract unsupervised attribute evaluator.