These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
    Author: Grau J, Grosse I, Keilwagen J.
    Journal: Bioinformatics; 2015 Aug 01; 31(15):2595-7. PubMed ID: 25810428.
    Abstract:
    Precision-recall (PR) and receiver operating characteristic (ROC) curves are valuable measures of classifier performance. Here, we present the R-package PRROC, which allows for computing and visualizing both PR and ROC curves. In contrast to available R-packages, PRROC allows for computing PR and ROC curves and areas under these curves for soft-labeled data using a continuous interpolation between the points of PR curves. In addition, PRROC provides a generic plot function for generating publication-quality graphics of PR and ROC curves.
    [Abstract] [Full Text] [Related] [New Search]