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: | 2018.10.1 |
Suggests: | ROCR, pROC, PRROC, microbenchmark, glmnet, ElemStatLearn, testthat, ggplot2, GsymPoint, geometry |
Published: | 2018-10-01 |
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_2018.10.1.tar.gz |
Windows binaries: | r-devel: WeightedROC_2018.10.1.zip, r-release: WeightedROC_2018.10.1.zip, r-oldrel: WeightedROC_2018.10.1.zip |
OS X binaries: | r-release: WeightedROC_2018.10.1.tgz, r-oldrel: WeightedROC_2018.10.1.tgz |
Old sources: | WeightedROC archive |
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