Difference between revisions of "Precrec"
Takayasaito (talk | contribs) (→Description) |
m |
||
| Line 3: | Line 3: | ||
|sw version=0.5.2 | |sw version=0.5.2 | ||
|interface=Command line, | |interface=Command line, | ||
| − | |resource type= | + | |resource type=Command-line tool |
|maintained=Yes | |maintained=Yes | ||
|email address=takaya.saito@ii.uib.no | |email address=takaya.saito@ii.uib.no | ||
| Line 22: | Line 22: | ||
<!-- --> | <!-- --> | ||
| + | {{Links}} | ||
{{References}} | {{References}} | ||
{{Link box}} | {{Link box}} | ||
Revision as of 12:52, 1 November 2016
|
Application data |
|
| 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.
"Error: no local variable "counter" was set." is not a number.
Contents
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.
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.
Links
References
To add a reference for Precrec, enter the PubMed ID in the field below and click 'Add'.
[ edit box ]
Search for "Precrec" in the SEQanswers forum / BioStar or:
| Web Search | Wiki Sites | Scientific |
|---|---|---|
