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

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

Uses of AbstractPerformanceMeasure in de.jstacs.classifiers.performanceMeasures
 

Subclasses of AbstractPerformanceMeasure 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 AbstractTwoClassPerformanceMeasure
          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 ClassificationRate
          This class implements the classification rate, i.e.
 class ConfusionMatrix
          This class implements the performance measure confusion matrix.
 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.
 

Methods in de.jstacs.classifiers.performanceMeasures that return AbstractPerformanceMeasure
 AbstractPerformanceMeasure[] AbstractPerformanceMeasureParameterSet.getAllMeasures()
          Returns an array of all contained performance measures.
 AbstractPerformanceMeasure AbstractPerformanceMeasureParameterSet.removeMeasure(int index)
          Removes the measure with index index from the set and returns this measure.
 AbstractPerformanceMeasure[] AbstractPerformanceMeasureParameterSet.removeMeasures(Class<? extends AbstractPerformanceMeasure> clazz)
          Removes all measures of a specific class from the set.
 AbstractPerformanceMeasure[] AbstractPerformanceMeasureParameterSet.removeMeasures(String name)
          Removes all measures with a specific name.
 

Method parameters in de.jstacs.classifiers.performanceMeasures with type arguments of type AbstractPerformanceMeasure
 AbstractPerformanceMeasure[] AbstractPerformanceMeasureParameterSet.removeMeasures(Class<? extends AbstractPerformanceMeasure> clazz)
          Removes all measures of a specific class from the set.