Binary_threshold {BinarybalancedCut} | R Documentation |
This Supports the datascientist to determine the optimal threshold for binary classifier problem by visuallizing the sensitivity, specificity and accurarcy of the given 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)
[Package BinarybalancedCut version 0.2 Index]