Package: PRROC 1.3.1

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

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) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.

Authors:Jan Grau and Jens Keilwagen

PRROC_1.3.1.tar.gz
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PRROC.pdf |PRROC.html✨
PRROC/json (API)

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Last updated 6 years agofrom:1d539299ca. Checks:OK: 7. Indexed: yes.

Exports:pr.curveroc.curve

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