ROC curve interpretation I trained a CNN model and a combined CNN-SVM model for classification. I wanted to compare their performance using ROC curve but I was confused which model is better. How to interpret the given ROC curves ?
If you hear from the area under the curve (AUC), you can find that the first classifier is better as AUC of the first curve is more than the second classifier. To know more about AUC you can find this post useful.