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

Packages that use AbstractTwoClassPerformanceMeasure
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
 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 FalsePositiveRateForFixedSensitivity
          This class implements the false positive rate for a fixed sensitivity.
 class MaximumCorrelationCoefficient
          This class implements the maximum of the correlation coefficient $\frac{ TP*TN - FN*FP }{ \sqrt{ (TP+FN)*(TN+FP)*(TP+FP)*(TN+FN) } }$.
 class MaximumFMeasure
          Computes the maximum of the general F-measure given a positive real parameter $\beta$.
 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.