title: Precrec: fast and accurate precision-recall and ROC curve calculations in R.
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.
  
  
  
  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 ++.
  
  
  
  takaya.saito@ii.uib.noSupplementary information: Supplementary data are available at Bioinformatics online.
authors: Computational Biology Unit, Department of Informatics, University of Bergen, N-5020 Bergen, Norway.
authors: Takaya
authors: T
authors: Saito
authors: Computational Biology Unit, Department of Informatics, University of Bergen, N-5020 Bergen, Norway.|Integrated Research Institute (IRI) for the Life Sciences and Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
authors: Marc
authors: M
authors: Rehmsmeier
mesh_terms: D019295:Computational Biology / Q000379:methods*; D012372:ROC Curve; D012984:Software