Thanks in advance for the help.
I have an unbalanced dataset that I am using for a binary classification problem. The classes are unbalanced. I believe that in such a case that weighted area under roc (receiver operating curve) is the proper way to analyze my results. However, I don't full understand the difference between area under roc and weighted area under roc.