de.jstacs.classifiers.performanceMeasures
Interface NumericalPerformanceMeasure

All Known Implementing Classes:

AucPR, AucROC, ClassificationRate, FalsePositiveRateForFixedSensitivity, MaximumCorrelationCoefficient, MaximumFMeasure, MaximumNumericalTwoClassMeasure, PositivePredictiveValueForFixedSensitivity, SensitivityForFixedSpecificity

public interface NumericalPerformanceMeasure

This interface indicates that a Performance measure returns numerical results. Any class that implements this interface should be an extension of AbstractPerformanceMeasure.

Author:

Jan Grau, Jens Keilwagen

See Also:

NumericalResultSet, NumericalResult

Method Summary

NumericalResultSet	compute(double[][][] classSpecificScores) This method allows to compute the performance measure of given class specific scores.
NumericalResultSet	compute(double[] sortedScoresClass0, double[] sortedScoresClass1) This method allows to compute the performance measure of given sorted score ratios.

Method Detail

compute

NumericalResultSet compute(double[] sortedScoresClass0,
                           double[] sortedScoresClass1)

This method allows to compute the performance measure of given sorted score ratios. This method can only be used for binary classifiers.

Parameters:

sortedScoresClass0 - the sorted score ratios of class 0

sortedScoresClass1 - the sorted score ratios of class 1

Returns:

a numerical result set containing the results of the performance measure

See Also:

Arrays.sort(double[])

compute

NumericalResultSet compute(double[][][] classSpecificScores)

This method allows to compute the performance measure of given class specific scores.

Parameters:

classSpecificScores - the scores; first dimension = data sets, second dimension = sequences of the data set, third dimension classes of the classifier

Returns:

a numerical result set containing the results of the performance measure