How to calculate true positive, true negative, false positive and false negative?
6 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
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.
0 Commenti
Risposte (3)
Shreeya
il 13 Gen 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
This code has been sourced from the MATLAB answer linked here: https://www.mathworks.com/matlabcentral/answers/1997058-how-can-i-calculate-true-positive-false-positive-true-negative-and-false-negative-of-real-and-pred
You can refer to the discussion for more details.
0 Commenti
Shawbo
il 7 Gen 2025
Modificato: Walter Roberson
il 7 Gen 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
1 Commento
Walter Roberson
il 7 Gen 2025
Please explain in more detail how this answers the question of calculating true positives and so on?
Shawbo
il 7 Gen 2025
Modificato: Shawbo
il 7 Gen 2025
A=[13 2 3 2,4 3 2 5,6 8 9 10]
1 Commento
Walter Roberson
il 7 Gen 2025
Please explain in more detail how this answers the question of calculating true positives and so on?
Vedere anche
Categorie
Scopri di più su Deep Learning Toolbox in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!