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BinarybalancedCut
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]
[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
Previous versions and publish date:
No previous versions
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Some associated functions: BinarybalancedCut .
Some associated R codes: BinarybalancedCut.R . Full BinarybalancedCut package functions and examples
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