Learn R Programming

PRROC (version 1.3.1)

Precision-Recall and ROC Curves for Weighted and Unweighted Data

Description

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. References: Davis and Goadrich (2006) ; Keilwagen et al. (2014) ; Grau et al. (2015) .

Copy Link

Version

Install

install.packages('PRROC')

Monthly Downloads

12,614

Version

1.3.1

License

GPL-3

Maintainer

Last Published

June 19th, 2018

Functions in PRROC (1.3.1)

roc.curve

ROC curve
PRROC-package

Compute and plot PR and ROC curves and the areas under the curves for weighted and unweighted data
plot.PRROC

Plotting PRROC objects
print.PRROC

printing PRROC objects
pr.curve

PR curve