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
Author: Navinkumar Nedunchezhian
Maintainer: Navinkumar Nedunchezhian <navinkumar.nedunchezhian at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: BinarybalancedCut results

Downloads:

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
OS X El Capitan binaries: r-release: BinarybalancedCut_0.2.tgz
OS X Mavericks binaries: r-oldrel: BinarybalancedCut_0.2.tgz

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