PerfMeas: Performance Measures for ranking and classification tasks

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Documentation for package ‘PerfMeas’ version 1.2.1

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PerfMeas-package PerfMeas: Performance Measures for ranking and classification tasks
AUC.measures AUC measures
AUC.single AUC measures
AUC.single.over.classes AUC measures
AUPRC Area Under the Precision Recall Curve
compute.mean.AUC.single.over.classes AUC measures
compute.mean.F.measure.single.over.classes F-measures
example.data Datasets used in the examples of the package
F.measure.single F-measures
F.measure.single.over.classes F-measures
F.measures F-measures
get.all.nodes.by.depth Getting nodes by their depth
PerfMeas PerfMeas: Performance Measures for ranking and classification tasks
performance.curves.plot Graphics function to plot precision/recall or f.score/recall curves
precision.at.all.recall.levels Precision at a given recall level measures
precision.at.multiple.recall.level Precision at a given recall level measures
precision.at.multiple.recall.level.over.classes Precision at a given recall level measures
precision.at.recall.level Precision at a given recall level measures
precision.at.recall.level.over.classes Precision at a given recall level measures
precision.recall.curves.plot Graphics function to plot precision/recall or f.score/recall curves
PrecRec Datasets used in the examples of the package
PXR Precision at a given recall level measures
Scores Datasets used in the examples of the package
T Datasets used in the examples of the package
trap.rule.integral Area Under the Precision Recall Curve