Difference between revisions of "Precrec"
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|interface=Command line, | |interface=Command line, | ||
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|maintained=Yes | |maintained=Yes | ||
|email address=takaya.saito@ii.uib.no | |email address=takaya.saito@ii.uib.no | ||
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Precrec is an R library that aims to provide robust performance evaluation of binary classifiers. It offers accurate and fast ROC and precision-recall calculations along with several useful features. See [https://cran.r-project.org/web/packages/precrec/vignettes/introduction.html Introduction to precrec] or [https://cran.r-project.org/web/packages/precrec/README.html README] for more details. | Precrec is an R library that aims to provide robust performance evaluation of binary classifiers. It offers accurate and fast ROC and precision-recall calculations along with several useful features. See [https://cran.r-project.org/web/packages/precrec/vignettes/introduction.html Introduction to precrec] or [https://cran.r-project.org/web/packages/precrec/README.html README] for more details. | ||
| − | == | + | == External links == |
* [https://CRAN.R-project.org/package=precrec CRAN web site] | * [https://CRAN.R-project.org/package=precrec CRAN web site] | ||
* [https://github.com/takayasaito/precrec GitHub web site] | * [https://github.com/takayasaito/precrec GitHub web site] | ||
Latest revision as of 14:07, 3 November 2016
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Application data |
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| Maintained? | Yes |
|---|---|
| Software version | 0.5.2 |
| Programming language(s) | R |
| Interface type(s) | Command line |
| Resource type(s) | Command-line tool |
| Licence | GPL-3 |
| Operating system(s) | Windows, Mac OS X, Unix-like |
| Contact: | takaya.saito@ii.uib.no |
Summary: Precrec is a CRAN package that provides accurate computations of ROC and Precision-Recall curves.
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Description
Precrec is an R library that aims to provide robust performance evaluation of binary classifiers. It offers accurate and fast ROC and precision-recall calculations along with several useful features. See Introduction to precrec or README for more details.
External links
- CRAN web site
- GitHub web site
- Classifier evaluation with imbalanced datasets - our web site that contains several pages with useful tips for performance evaluation on binary classifiers.
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets - our paper that summarized potential pitfalls of ROC plots with imbalanced datasets and advantages of using precision-recall plots instead.
References
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