ROC curve with multiclass SVM

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kav
kav 2020-4-4
评论： Gorkem Akgul 2021-5-14
Hello All,
I am plotting the ROC curve for SVM multiclass(3 classes) task. Getting the error as "Index in position 2 exceeds array bounds (must not exceed 3)"
Error in ROC_SVM (line 70)
scores = double(score(:,final_best_SVM.ClassNames + 1))'; % Compute the posterior probabilities (scores)
My code is
%% Plotting ROC curve for SVM
[predictedLabels,score,cost] = predict(final_best_SVM, features_Testing);
scores = double(score(:,final_best_SVM.ClassNames + 1))'; % Compute the posterior probabilities (scores)
figure(2)
plotroc(dtTest_lab,scores)
title('ROC Curve for SVM')

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采纳的回答

Harsha Priya Daggubati
Hi,
The number of columns of score matrix will be equal to your classes, in your case it is 3. Since you are using +1 in the following line, this issue pops up.
scores = double(score(:,final_best_SVM.ClassNames + 1))
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kav
kav 2020-4-8
I think its same as before problem.
Error using network/sim (line 270)
Input data sizes do not match net.inputs{1}.size.
Error in ROC_MLP (line 79)
simpleclusterOutputs = sim(netBest,features_Training)

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