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.
- Version1.3.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- PRROC citation info
- Last release06/19/2018
Documentation
Team
Jan Grau
Jens Keilwagen
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Insights
Last 30 days
This package has been downloaded 15,480 times in the last 30 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 552 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 181,296 times in the last 365 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The day with the most downloads was Apr 09, 2024 with 6,382 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Suggests3 packages
- Reverse Imports9 packages
- Reverse Suggests2 packages