<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Precision-Recall and ROC Curves for Weighted and Unweighted Data</dc:title>
  <dc:title>R package PRROC version 1.4</dc:title>
  <dc: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) &lt;doi:10.1145/1143844.1143874&gt;; Keilwagen et al. (2014) &lt;doi:10.1371/journal.pone.0092209&gt;; Grau et al. (2015) &lt;doi:10.1093/bioinformatics/btv153&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: rlang</dc:relation>
  <dc:relation>Suggests: testthat, ggplot2, ROCR</dc:relation>
  <dc:creator>Jan Grau &lt;grau@informatik.uni-halle.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jan Grau [aut, cre],
  Jens Keilwagen [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-03-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PRROC</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PRROC</dc:identifier>
</oai_dc:dc>