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BinarybalancedCut  

Threshold Cut Point of Probability for a Binary Classifier Model
View on CRAN: Click here


Download and install BinarybalancedCut package within the R console
Install from CRAN:
install.packages("BinarybalancedCut")

Install from Github:
library("remotes")
install_github("cran/BinarybalancedCut")

Install by package version:
library("remotes")
install_version("BinarybalancedCut", "0.2")



Attach the package and use:
library("BinarybalancedCut")
Maintained by
Navinkumar Nedunchezhian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-02
Latest Update: 2017-09-02
Description:
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.
How to cite:
Navinkumar Nedunchezhian (2017). BinarybalancedCut: Threshold Cut Point of Probability for a Binary Classifier Model. R package version 0.2, https://cran.r-project.org/web/packages/BinarybalancedCut. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using the BinarybalancedCut R package
Some associated functions: BinarybalancedCut . 
Some associated R codes: BinarybalancedCut.R .  Full BinarybalancedCut package functions and examples
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