Uses of Interface
de.jstacs.classifiers.performanceMeasures.PerformanceMeasure

Packages that use PerformanceMeasure

Package	Description
de.jstacs.classifiers	This package provides the framework for any classifier.
de.jstacs.classifiers.performanceMeasures	This package provides the implementations of performance measures that can be used to assess any classifier.

Uses of PerformanceMeasure in de.jstacs.classifiers

Method parameters in de.jstacs.classifiers with type arguments of type PerformanceMeasure

Modifier and Type	Method and Description
ResultSet	AbstractClassifier.evaluate(AbstractPerformanceMeasureParameterSet<? extends PerformanceMeasure> params, boolean exceptionIfNotComputeable, DataSet... s) This method evaluates the classifier and computes, for instance, the sensitivity for a given specificity, the area under the ROC curve and so on.
ResultSet	AbstractClassifier.evaluate(AbstractPerformanceMeasureParameterSet<? extends PerformanceMeasure> params, boolean exceptionIfNotComputeable, DataSet[] s, double[][] weights) This method evaluates the classifier and computes, for instance, the sensitivity for a given specificity, the area under the ROC curve and so on.
protected boolean	MappingClassifier.getResults(LinkedList list, DataSet[] s, double[][] weights, AbstractPerformanceMeasureParameterSet<? extends PerformanceMeasure> params, boolean exceptionIfNotComputeable)
protected boolean	AbstractScoreBasedClassifier.getResults(LinkedList list, DataSet[] s, double[][] weights, AbstractPerformanceMeasureParameterSet<? extends PerformanceMeasure> params, boolean exceptionIfNotComputeable)
protected boolean	AbstractClassifier.getResults(LinkedList list, DataSet[] s, double[][] weights, AbstractPerformanceMeasureParameterSet<? extends PerformanceMeasure> params, boolean exceptionIfNotComputeable) This method computes the results for any evaluation of the classifier.

Uses of PerformanceMeasure in de.jstacs.classifiers.performanceMeasures

Classes in de.jstacs.classifiers.performanceMeasures with type parameters of type PerformanceMeasure

Modifier and Type	Class and Description
class	AbstractPerformanceMeasureParameterSet<T extends PerformanceMeasure> This class implements a container of PerformanceMeasures that can be used in AbstractClassifier.evaluate(AbstractPerformanceMeasureParameterSet, boolean, de.jstacs.data.DataSet...).

Subinterfaces of PerformanceMeasure in de.jstacs.classifiers.performanceMeasures

Modifier and Type	Interface and Description
interface	NumericalPerformanceMeasure This interface indicates that a Performance measure returns numerical results.

Classes in de.jstacs.classifiers.performanceMeasures that implement PerformanceMeasure

Modifier and Type	Class and Description
class	AbstractNumericalTwoClassPerformanceMeasure This class is the abstract super class of any performance measure that can only be computed for binary classifiers.
class	AbstractPerformanceMeasure This class is the abstract super class of any performance measure used to evaluate an AbstractClassifier.
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	CorrelationCoefficient PerformanceMeasure using Pearson or Spearman correlation between prediction scores and weighted class labels.
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.

Methods in de.jstacs.classifiers.performanceMeasures with parameters of type PerformanceMeasure

Modifier and Type	Method and Description
protected static int	AbstractPerformanceMeasureParameterSet.getNumberOfClasses(PerformanceMeasure[] measures) Returns the number of classes the PerformanceMeasures in measures can be applied to.

Constructors in de.jstacs.classifiers.performanceMeasures with parameters of type PerformanceMeasure

Constructor and Description
AbstractPerformanceMeasureParameterSet(int numClasses, boolean numerical, T[] measures) Creates a new AbstractPerformanceMeasureParameterSet for the given number of classes and measures using only numerical performance measures or not.
AbstractPerformanceMeasureParameterSet(int numClasses, SelectionParameter selection, T... measures) This constructor creates an instance with a given template selection that can be used for classifiers handling a given number of classes.
PerformanceMeasureParameterSet(PerformanceMeasure... measures) Constructs a new PerformanceMeasureParameterSet with the given performance measures.