Package: BinarybalancedCut 0.2

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.

Authors:Navinkumar Nedunchezhian

BinarybalancedCut_0.2.tar.gz
BinarybalancedCut_0.2.zip(r-4.7-any)BinarybalancedCut_0.2.zip(r-4.6-any)BinarybalancedCut_0.2.zip(r-4.5-any)
BinarybalancedCut_0.2.tgz(r-4.6-any)BinarybalancedCut_0.2.tgz(r-4.5-any)
BinarybalancedCut_0.2.tar.gz(r-4.7-any)BinarybalancedCut_0.2.tar.gz(r-4.6-any)
BinarybalancedCut_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BinarybalancedCut/json (API)

# Install 'BinarybalancedCut' in R:
install.packages('BinarybalancedCut', repos = c('https://navinkumarnedunchezhian.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 314 downloads 1 exports 23 dependencies

Last updated from:9d8811dcb2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK150
linux-releaseOK106
macos-releaseOK176
macos-oldrelOK191
windows-develOK81
windows-releaseOK63
windows-oldrelOK86
wasm-releaseOK80

Exports:Binary_threshold

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrvctrsviridisLitewithr