Use perfcurve
:
[X,Y] = perfcurve(labels,scores,posclass);
plot(X,Y);
labels
are the true labels of the data, scores
are the output scores from your classifier (before the threshold) and posclass
is the positive class in your labels.
문제
I have a binary classifier, which classifies an input X as class zero if its predicted value is below some threshold (say T
), and one otherwise.
I have all predicted and actual values for every input. So I can have both predicted class and actual class of an input.
Now I want to have the ROC curve for this classifier with MATLAB. How should I do it?
해결책
Use perfcurve
:
[X,Y] = perfcurve(labels,scores,posclass);
plot(X,Y);
labels
are the true labels of the data, scores
are the output scores from your classifier (before the threshold) and posclass
is the positive class in your labels.