BinarybalancedCut (version 0.2)

Threshold Cut Point of Probability for a Binary Classifier Model

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.

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Version

Install

install.packages('BinarybalancedCut')

Monthly Downloads

183

Version

0.2

License

GPL-2

Maintainer

Navinkumar Nedunchezhian

Last Published

September 2nd, 2017

Functions in BinarybalancedCut (0.2)

Binary_threshold

This Supports the datascientist to determine the optimal threshold for binary classifier problem by visuallizing the sensitivity, specificity and accurarcy of the given model