R: Performance Measures for Ranking and Classification Tasks

# Performance Measures for Ranking and Classification Tasks

## 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