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Allows to view the optimal probability cut-off point at which the Sensitivity and Specificity meets and its a best way to minimize both Type-1 and Type-2 error for a binary Classifier in determining the Probability threshold.
| Version: | 0.2 |
| Imports: | ggplot2, reshape2 |
| Suggests: | knitr |
| Published: | 2017-09-02 |
| Author: | Navinkumar Nedunchezhian |
| Maintainer: | Navinkumar Nedunchezhian <navinkumar.nedunchezhian at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | BinarybalancedCut results |
| Reference manual: | BinarybalancedCut.pdf |
| Package source: | BinarybalancedCut_0.2.tar.gz |
| Windows binaries: | r-devel: BinarybalancedCut_0.2.zip, r-release: BinarybalancedCut_0.2.zip, r-oldrel: BinarybalancedCut_0.2.zip |
| macOS binaries: | r-release (arm64): BinarybalancedCut_0.2.tgz, r-oldrel (arm64): BinarybalancedCut_0.2.tgz, r-release (x86_64): BinarybalancedCut_0.2.tgz, r-oldrel (x86_64): BinarybalancedCut_0.2.tgz |
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