How measure sensitivity and specificity when using kfold cross validation?

4 ビュー (過去 30 日間)
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?

採用された回答

Divya Gaddipati
Divya Gaddipati 2020 年 4 月 15 日
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!

その他の回答 (0 件)

カテゴリ

Help Center および File ExchangeClassification についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by