How to calculate true positive, true negative, false positive and false negative?

11 次查看(过去 30 天)
Hello everyone!
I created artificial neural network to compute answers for my diagnosis. Now, I would like to compare the amount of true positive, true negative, false positive and false negative. I was thinking about creating a loop and count every values.
Thank you for your help.

回答(1 个)

Shreeya
Shreeya 2024-1-13
To calculate the TP, TN, FP, FN, you can refer to the code down below.
% An example considering 1 & 2 as positive and 3 as negative:
real = [1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3];
predicted = [2 2 3 2 1 2 3 2 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3];
realPos = (real==1) | (real == 2);
realNeg = ~realPos;
predictedPos = (predicted==1) | (predicted == 2);
predictedNeg = ~predictedPos;
TP = sum(predictedPos & realPos) % 6
FP = sum(predictedPos & realNeg) % 1
TN = sum(predictedNeg & realNeg) % 27
FN = sum(predictedNeg & realPos) % 6
You can refer to the discussion for more details.

类别

Help CenterFile Exchange 中查找有关 Deep 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!

Translated by