PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data

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Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method.

Author
Jan Grau and Jens Keilwagen
Date of publication
2015-02-26 02:14:52
Maintainer
Jan Grau <grau@informatik.uni-halle.de>
License
GPL-3
Version
1.1

View on CRAN

Man pages

plot.PRROC
Plotting PRROC objects
pr.curve
PR curve
print.PRROC
printing PRROC objects
PRROC-package
Compute and plot PR and ROC curves and the areas under the...
roc.curve
ROC curve

Files in this package

PRROC
PRROC/inst
PRROC/inst/CITATION
PRROC/inst/tests
PRROC/inst/tests/test-ROC.R
PRROC/inst/tests/test-PR.R
PRROC/inst/doc
PRROC/inst/doc/PRROC.R
PRROC/inst/doc/PRROC.Rnw
PRROC/inst/doc/PRROC.pdf
PRROC/tests
PRROC/tests/all_tests.R
PRROC/NAMESPACE
PRROC/R
PRROC/R/PRROC.R
PRROC/vignettes
PRROC/vignettes/PRROC.Rnw
PRROC/MD5
PRROC/build
PRROC/build/vignette.rds
PRROC/DESCRIPTION
PRROC/man
PRROC/man/PRROC-package.Rd
PRROC/man/pr.curve.Rd
PRROC/man/roc.curve.Rd
PRROC/man/print.PRROC.Rd
PRROC/man/plot.PRROC.Rd