Package mulan.evaluation.measure

Interface Summary

MacroAverageMeasure	Interface for macro average measures
Measure	Interface for a measure, used to evaluate the performance of a multi-label learner on when performing multi-label learning task.

Class Summary

AveragePrecision	Implementation of the average precision measure.
BipartitionMeasureBase
ConfidenceMeasureBase
Coverage	Implementation of the coverage measure.
ErrorSetSize	Measure based on the ErrorSetSize ranking loss function
ExampleBasedAccuracy	Implementation of the example-based accuracy measure.
ExampleBasedBipartitionMeasureBase	Base class for example-based bipartition measures
ExampleBasedFMeasure	Implementation of the example-based F measure.
ExampleBasedPrecision	Implementation of the example-based precision measure.
ExampleBasedRecall	Implementation of the example-based recall measure.
ExampleBasedSpecificity	Implementation of the example-based recall measure.
GeometricMeanAverageInterpolatedPrecision	Implementation of GMAiP (Geometric Mean Average Interpolated Precision)
GeometricMeanAveragePrecision	Implementation of GMAP (Geometric Mean Average Precision)
HammingLoss	Implementation of the Hamming loss function.
HierarchicalLoss	Implementation of the Hierarchical loss measure.
InformationRetrievalMeasures	Class for computing various information retrieval measures.
IsError	Measure based on the IsError ranking loss function
LabelBasedAUC	Implementation of the label-based macro precision measure.
LabelBasedAveragePrecision
LabelBasedBipartitionMeasureBase	Base class for label-based bipartition measures
LabelBasedFMeasure	Base implementation of the label-based macro/micro f-measures.
LabelBasedPrecision	Base implementation of the label-based macro/micro precision measures.
LabelBasedRecall	Common class for the micro/macro label-based recall measures.
LabelBasedSpecificity	Common class for the micro/macro label-based recall measures.
LossBasedBipartitionMeasureBase
LossBasedRankingMeasureBase
MacroAUC	Implementation of the macro-averaged AUC measure.
MacroFMeasure	Implementation of the macro-averaged f measure.
MacroPrecision	Implementation of the macro-averaged precision measure.
MacroRecall	Implementation of the macro-averaged recall measure.
MacroSpecificity	Implementation of the macro-averaged recall measure.
MeanAverageInterpolatedPrecision	Implementation of MAiP (Mean Average Interpolated Precision)
MeanAveragePrecision	Implementation of MAP (Mean Average Precision)
MeasureBase
MicroAUC	Implementation of the micro-averaged AUC measure.
MicroFMeasure	Implementation of the micro-averaged precision measure.
MicroPrecision	Implementation of the micro-averaged precision measure.
MicroRecall	Implementation of the micro-averaged recall measure.
MicroSpecificity	Implementation of the micro-averaged recall measure.
OneError	Measure based on the one error loss function
RankingLoss	Implementation of the ranking loss measure.
RankingMeasureBase
SubsetAccuracy	Implementation of the subset accuracy measure.