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Function multiroc() can be used for computing and visualizing Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) for multi-class classification problems. It supports both One-vs-One approach by M.Bishop, C. (2006, ISBN:978-0-387-31073-2) and One-vs-All approach by Murphy P., K. (2012, ISBN:9780262018029).
| Version: | 0.1.0 |
| Imports: | ggplot2, pROC |
| Published: | 2023-07-21 |
| DOI: | 10.32614/CRAN.package.MultiClassROC |
| Author: | Marton Varga [cre, aut] |
| Maintainer: | Marton Varga <vargamarton0723 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MultiClassROC results |
| Reference manual: | MultiClassROC.pdf |
| Package source: | MultiClassROC_0.1.0.tar.gz |
| Windows binaries: | r-devel: MultiClassROC_0.1.0.zip, r-release: MultiClassROC_0.1.0.zip, r-oldrel: MultiClassROC_0.1.0.zip |
| macOS binaries: | r-release (arm64): MultiClassROC_0.1.0.tgz, r-oldrel (arm64): MultiClassROC_0.1.0.tgz, r-release (x86_64): MultiClassROC_0.1.0.tgz, r-oldrel (x86_64): MultiClassROC_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.