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

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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.

Antworten (3)

Shreeya
Shreeya am 13 Jan. 2024
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.

Shawbo
Shawbo am 7 Jan. 2025
Bearbeitet: Walter Roberson am 7 Jan. 2025
clc
syms x
a=input('a=');
b=input('b=');
er=input('er=');
f=input('the function is f(x)=');
g=inline(f);
if(g(a)*g(b)<0
b=c;
else
a=c;
end
disps([a b c abc(a-b)]
end
else
disp('the root does not exist in this interval')
end

Shawbo
Shawbo am 7 Jan. 2025
Bearbeitet: Shawbo am 7 Jan. 2025

A=[13 2 3 2,4 3 2 5,6 8 9 10]

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