How measure sensitivity and specificity when using kfold cross validation?
5 次查看(过去 30 天)
显示 更早的评论
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?
0 个评论
采纳的回答
Divya Gaddipati
2020-4-15
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:
Hope this helps!
0 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!