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Bioinformatics. 2017 Jan 1;33(1):145-147. doi: 10.1093/bioinformatics/btw570. Epub 2016 Sep 1.

Precrec: fast and accurate precision-recall and ROC curve calculations in R.

Author information

1
Computational Biology Unit, Department of Informatics, University of Bergen, N-5020 Bergen, Norway.
2
Integrated Research Institute (IRI) for the Life Sciences and Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.

Abstract

The precision-recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision-recall plots are currently not available. We have developed Precrec, an R library that aims to overcome this limitation of the plot. Our tool provides fast and accurate precision-recall calculations together with multiple functionalities that work efficiently under different conditions.

AVAILABILITY AND IMPLEMENTATION:

Precrec is licensed under GPL-3 and freely available from CRAN (https://cran.r-project.org/package=precrec). It is implemented in R with C ++.

CONTACT:

takaya.saito@ii.uib.noSupplementary information: Supplementary data are available at Bioinformatics online.

PMID:
27591081
PMCID:
PMC5408773
DOI:
10.1093/bioinformatics/btw570
[Indexed for MEDLINE]
Free PMC Article

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