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## 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` | `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 .
`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.
`class` | `TwoClassAbstractPerformanceMeasure` This class is the abstract super class of any performance measure that can only be computed for binary classifiers.

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

Methods in de.jstacs.classifiers.performanceMeasures with parameters of type AbstractPerformanceMeasure
`void` | `PerformanceMeasureParameterSet.addMeasure(AbstractPerformanceMeasure measure)` Deprecated.
`protected void` | `PerformanceMeasureParameterSet.setMeasure(AbstractPerformanceMeasure measure)` Sets the given measure as content of the internally last `ParameterSetContainer`.

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

Constructors in de.jstacs.classifiers.performanceMeasures with parameters of type AbstractPerformanceMeasure
`PerformanceMeasureParameterSet(AbstractPerformanceMeasure... measures)` Constructs a new `PerformanceMeasureParameterSet` with the given performance measures.
`PerformanceMeasureParameterSet(int numClasses, SelectionParameter selection, AbstractPerformanceMeasure... measures)` This constructor creates an instance with a given template `selection` that can be used for classifiers handling a given number of classes.

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