Package | Description |
---|---|
de.jstacs.classifiers.performanceMeasures |
This package provides the implementations of performance measures that can be used to assess any classifier.
|
Modifier and Type | Class and Description |
---|---|
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 |
SensitivityForFixedSpecificity
This class implements the sensitivity for a fixed specificity.
|