Movatterモバイル変換


[0]ホーム

URL:


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 gmail.com>
License:GPL-2
NeedsCompilation:no
CRAN checks:BinarybalancedCut results

Documentation:

Reference manual:BinarybalancedCut.html ,BinarybalancedCut.pdf

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=BinarybalancedCutto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp