I am currently doing a classification problem for classifying the functional class and non-functional class of peptidase cleavage site. The data on non-functional class (negative class) is highly imbalanced and it has majority samples compared to functional class(positive class). I have done the classification using three different classifier. I calculated the AUC and plot the ROC curve as shown in the image below.
However, I don't really understand how to interpret the ROC curve since I am new to this field of study. I have seen many of the ROC curve in research paper, I feel weird why my ROC curve does not look like most of the research.
Can anyone help me to interpret the ROC curve below.
