Uses of Interface
weka.attributeSelection.AttributeEvaluator

Packages that use AttributeEvaluator

Package	Description
weka.attributeSelection

Uses of AttributeEvaluator in weka.attributeSelection

Classes in weka.attributeSelection that implement AttributeEvaluator

Modifier and Type	Class	Description
class	ClassifierAttributeEval	ClassifierAttributeEval : Evaluates the worth of an attribute by using a user-specified classifier.
class	CorrelationAttributeEval	CorrelationAttributeEval : Evaluates the worth of an attribute by measuring the correlation (Pearson's) between it and the class. Nominal attributes are considered on a value by value basis by treating each value as an indicator.
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).
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).
class	OneRAttributeEval	OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier.
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	SymmetricalUncertAttributeEval	SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class.
class	UnsupervisedAttributeEvaluator	Abstract unsupervised attribute evaluator.