PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
Where this comes from
- Record sourced from PubMed, PMID 25810428.
- Also identified by DOI 10.1093/bioinformatics/btv153 and PMC identifier 4514923.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Computer Graphics
- Data Interpretation, Statistical
- Mathematical Computing
- ROC Curve
- Software