I'm using the Weka 3.6 GUI to compare the performance of a group of supervised learning algorithms on a dataset. I'm generating separate ROC curves for each learning algorithm. My problem is: is there a way in Weka to generate all ROC curves for all algorithms on the same set of scales (which would make for easier comparison)? If not, what could I do? Thanks.
As far as my experience tells me- No. You can view ROC of one classifier at a time not ROCs of all classifiers in one place. However, to compare, you can take the ROC value from the classifier tab and compare the values (closer to 1 means good classifier).