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.