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## Uses of Class
de.jstacs.classifiers.performanceMeasures.PerformanceMeasureParameterSet

Packages that use PerformanceMeasureParameterSet
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 PerformanceMeasureParameterSet in de.jstacs.classifiers

Methods in de.jstacs.classifiers with parameters of type PerformanceMeasureParameterSet
`ResultSet` | `AbstractClassifier.evaluate(PerformanceMeasureParameterSet 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.
`protected boolean` | `MappingClassifier.getResults(LinkedList list, DataSet[] s, PerformanceMeasureParameterSet params, boolean exceptionIfNotComputeable)`
`protected boolean` | `AbstractScoreBasedClassifier.getResults(LinkedList list, DataSet[] s, PerformanceMeasureParameterSet params, boolean exceptionIfNotComputeable)`
`protected boolean` | `AbstractClassifier.getResults(LinkedList list, DataSet[] s, PerformanceMeasureParameterSet params, boolean exceptionIfNotComputeable)` This method computes the results for any evaluation of the classifier.

Uses of PerformanceMeasureParameterSet in de.jstacs.classifiers.performanceMeasures

Subclasses of PerformanceMeasureParameterSet in de.jstacs.classifiers.performanceMeasures
`class` | `NumericalPerformanceMeasureParameterSet` This class implements a container for `NumericalPerformanceMeasure`s that can be used, for instance, in an repeated assessment, (cf.

Methods in de.jstacs.classifiers.performanceMeasures that return PerformanceMeasureParameterSet
`static PerformanceMeasureParameterSet` | `PerformanceMeasureParameterSet.createFilledParameters(boolean numerical, double spForSn, double snForFPR, double snForPPV, double beta)` Creates a filled `PerformanceMeasureParameterSet` that can be used in `AbstractClassifier.evaluate(PerformanceMeasureParameterSet, boolean, de.jstacs.data.DataSet...)`.

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