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## Package de.jstacs.classifiers.performanceMeasures

This package provides the implementations of performance measures that can be used to assess any classifier

See:
Description

Interface Summary
NumericalPerformanceMeasure | This interface indicates that a Performance measure returns numerical results.

Class Summary
AbstractPerformanceMeasure | This class is the abstract super class of any performance measure used to evaluate an `AbstractClassifier`.
AucPR | This class implements the area under curve of the precision-recall curve.
AucROC | This class implements the area under curve of the Receiver Operating Characteristics curve.
ClassificationRate | This class implements the classification rate, i.e.
ConfusionMatrix | This class implements the performance measure confusion matrix.
FalsePositiveRateForFixedSensitivity | This class implements the false positive rate for a fixed sensitivity.
MaximumCorrelationCoefficient | This class implements the maximum of the correlation coefficient .
MaximumFMeasure | Computes the maximum of the general F-measure given a positive real parameter .
MaximumNumericalTwoClassMeasure | This class prepares everything for an easy implementation of a maximum of any numerical performance measure.
NumericalPerformanceMeasureParameterSet | This class implements a container for `NumericalPerformanceMeasure`s that can be used, for instance, in an repeated assessment, (cf.
PerformanceMeasureParameterSet | This class implements a container of `AbstractPerformanceMeasure`s that can be used in `AbstractClassifier.evaluate(PerformanceMeasureParameterSet, boolean, de.jstacs.data.DataSet...)`.
PositivePredictiveValueForFixedSensitivity | This class implements the positive predictive value for a fixed sensitivity.
PRCurve | This class implements the precision-recall curve and its area under the curve.
ROCCurve | This class implements the Receiver Operating Characteristics curve and the area under the curve.
SensitivityForFixedSpecificity | This class implements the sensitivity for a fixed specificity.
TwoClassAbstractPerformanceMeasure | This class is the abstract super class of any performance measure that can only be computed for binary classifiers.

## Package de.jstacs.classifiers.performanceMeasures Description

This package provides the implementations of performance measures that can be used to assess any classifier.

See Also:
  `AbstractPerformanceMeasure`, `PerformanceMeasureParameterSet`, `AbstractClassifier`

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