Performance Measures for Ranking and Classification Tasks

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Documentation for package ‘PerfMeas’ version 1.2.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

PerfMeas-package	Performance Measures for Ranking and Classification Tasks
AUC.measures	AUC measures
AUC.n.single	AUC measures
AUC.n.single.over.classes	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	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