Uses of Class
de.jstacs.classifiers.performanceMeasures.AbstractTwoClassPerformanceMeasure

Packages that use AbstractTwoClassPerformanceMeasure

Package	Description
de.jstacs.classifiers.performanceMeasures	This package provides the implementations of performance measures that can be used to assess any classifier.

Uses of AbstractTwoClassPerformanceMeasure in de.jstacs.classifiers.performanceMeasures

Subclasses of AbstractTwoClassPerformanceMeasure in de.jstacs.classifiers.performanceMeasures

Modifier and Type	Class and Description
class	AbstractNumericalTwoClassPerformanceMeasure This class is the abstract super class of any performance measure that can only be computed for binary classifiers.
class	AucPR This class implements the area under curve of the precision-recall curve.
class	AucROC This class implements the area under curve of the Receiver Operating Characteristics curve.
class	CorrelationCoefficient PerformanceMeasure using Pearson or Spearman correlation between prediction scores and weighted class labels.
class	FalsePositiveRateForFixedSensitivity This class implements the false positive rate for a fixed sensitivity.
class	MaximumCorrelationCoefficient This class implements the maximum of the correlation coefficient .
class	MaximumFMeasure Computes the maximum of the general F-measure given a positive real parameter .
class	MaximumNumericalTwoClassMeasure This class prepares everything for an easy implementation of a maximum of any numerical performance measure.
class	PositivePredictiveValueForFixedSensitivity This class implements the positive predictive value for a fixed sensitivity.
class	PRCurve This class implements the precision-recall curve and its area under the curve.
class	ROCCurve This class implements the Receiver Operating Characteristics curve and the area under the curve.
class	SensitivityForFixedSpecificity This class implements the sensitivity for a fixed specificity.