BinarybalancedCut: Threshold Cut Point of Probability for a Binary Classifier Model

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
DOI: 10.32614/CRAN.package.BinarybalancedCut
Author: Navinkumar Nedunchezhian
Maintainer: Navinkumar Nedunchezhian <navinkumar.nedunchezhian at>
License: GPL-2
NeedsCompilation: no
CRAN checks: BinarybalancedCut results


Reference manual: BinarybalancedCut.pdf


Package source: BinarybalancedCut_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.