Effacer les filtres
Effacer les filtres

Inconsistant Accuracy , Precision , Recall and F1 Score

10 vues (au cours des 30 derniers jours)
Life is Wonderful
Life is Wonderful le 20 Juin 2023
Hi there,
I'm attempting to calculate Precision, Recall, and F1 score, but I see NaN in my calculations. Could you please assist me in resolving a computation bug?
Thank you
act =[
0
0.0269
0.0354
0
51.9578
34.4936
10.0596
4.2331
3.4373
2.0611
2.9576
3.1177
1.9092
1.8423
5.5713
4.7685
3.8489
3.8223
52.2738
26.4217];
pred = -0 + (100+0)*rand(size(act,1),1); %between a = 0 to b = 100
[m,order] = confusionmat(act,pred);
cmtx = m';
diagonal = diag(cmtx); % Bug here
SumOfrows = sum(cmtx,2);
precision = diagonal ./ SumOfrows;
OverallPrecision = mean(precision);
SumOfCol = sum(cmtx,1);
recall = diagonal ./ SumOfCol';
OverallRecall = mean(recall);
f1Score = 2* ((OverallPrecision*OverallRecall)/ OverallPrecision+OverallRecall);
precision,
precision = 39×1
NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
OverallPrecision,
OverallPrecision = NaN
recall,
recall = 39×1
0 0 0 0 0 0 0 0 0 0
OverallRecall,
OverallRecall = NaN
f1Score
f1Score = NaN
  20 commentaires
dpb
dpb le 23 Juin 2023
Modifié(e) : dpb le 23 Juin 2023
Well, that's certainly a different result; those two have almost perfect correlation.
However, as to what can be inferred from the above and what sort of an analysis to apply is far too complex a question to answer in this forum; would need in-depth consultation in order to have a sufficient understanding of the problem in order to be able to do so.
Good luck in finding someone in your environment that has such expertise...
Life is Wonderful
Life is Wonderful le 24 Juin 2023
Thank you very much for your time and efforts in helping me.
best wishes

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