Package | Description |
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de.jstacs.classifiers.performanceMeasures |
This package provides the implementations of performance measures that can be used to assess any classifier.
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Modifier and Type | Class and Description |
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class |
AbstractNumericalTwoClassPerformanceMeasure
This class is the abstract super class of any performance measure that can only be computed for binary classifiers.
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class |
AucPR
This class implements the area under curve of the precision-recall curve.
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class |
AucROC
This class implements the area under curve of the Receiver Operating Characteristics curve.
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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.
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class |
MaximumCorrelationCoefficient
This class implements the maximum of the correlation coefficient
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class |
MaximumFMeasure
Computes the maximum of the general F-measure given a positive real parameter
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class |
MaximumNumericalTwoClassMeasure
This class prepares everything for an easy implementation of a maximum of any numerical performance measure.
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class |
PositivePredictiveValueForFixedSensitivity
This class implements the positive predictive value for a fixed sensitivity.
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class |
PRCurve
This class implements the precision-recall curve and its area under the curve.
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class |
ROCCurve
This class implements the Receiver Operating Characteristics curve and the area under the curve.
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class |
SensitivityForFixedSpecificity
This class implements the sensitivity for a fixed specificity.
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