How measure sensitivity and specificity when using kfold cross validation?

I need to measure the sensitivity and specificity on the observations not used fro training in kfold cross validation like kfoldLoss fucntion that measures classification loss for observations not used for training.

What function does that?

Answer 1

[Divya Gaddipati]

Hi,

You can use confusionmat to obtain the True Positive (TP), True Negative (TN), False Positive (FP), False Negative (FN), which can be used to calculate the Sensitivity and Specificity using the formula:

Sensitivity = TP/(TP+FN)

Specificity = TN/(TN+FP)

[cm, order] = confusionmat(target, predicted)
%% Assuming your confusion matrix is 2x2, it will look like this:
       
%    | 0     1
%  -----------
%  0 | TN   FP
%  1 | FN   TP 

For more information, you can refer to the following link:

https://www.mathworks.com/help/stats/confusionmat.html

Hope this helps!