Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).
| Version: | 2017.07.12 |
| Suggests: | ROCR, pROC, microbenchmark, glmnet, ElemStatLearn, testthat, ggplot2 |
| Published: | 2017-07-12 |
| Author: | Toby Dylan Hocking |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | WeightedROC results |
| Reference manual: | WeightedROC.pdf |
| Vignettes: |
Definition of the weighted ROC curve Un-weighted ROC curve speed comparison |
| Package source: | WeightedROC_2017.07.12.tar.gz |
| Windows binaries: | r-devel: WeightedROC_2017.07.12.zip, r-release: WeightedROC_2017.07.12.zip, r-oldrel: WeightedROC_2017.07.12.zip |
| OS X El Capitan binaries: | r-release: WeightedROC_2017.07.12.tgz |
| OS X Mavericks binaries: | r-oldrel: WeightedROC_2017.07.12.tgz |
| Old sources: | WeightedROC archive |
Please use the canonical form https://CRAN.R-project.org/package=WeightedROC to link to this page.