BinarybalancedCut: This Supports the datascientist to determine the optimal...

In BinarybalancedCut: Threshold Cut Point of Probability for a Binary Classifier Model

Description

Prints 'Chart of sensitivity & specificity'.

Usage

Binary_threshold(probability,class)

Arguments

probability	Probability Obtained from the model
class	Actual Class of the datasets

Examples

set.seed(100);disease <- sample(c("yes","no"), 1000, replace=TRUE);
Probabilities<-sample(seq(0,1,by=0.01),1000,replace=TRUE);
Binary_threshold(Probabilities,disease)

BinarybalancedCut documentation built on May 2, 2019, 9:58 a.m.