You have it correct according to the discussion in Sensitivity and specificity. Those are likely the best to assess a binary classifier performance, the ROC curve (the perfcurve function in the Statistics Toolbox) being an extension of that.
Specificity and sensitivity of ANN
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Hi. I have used ANN to train a dataset and now i want to find its specificity and sensitivity. Are these two things the same as True negative rate and true positive rate which i have found from my confusion matrix? What other parameters can I use to show the performance of a classifier? Thanks. Have a nice day.
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