As a homework of machine learning course, I'm implementing a spam filter with Naive Bayes classifier. To evaluate the performance, I wanted to use ROC curve, but I was unsure of how can I use it in a proper way. So I found the following tutorial extremely useful:
It has a lot of materials, maybe a little too much since I'm not that committed to the theory of ROC curve for now, but maybe I should definitely return to this material since this is surely of practical importance.
My labmate Nguyen Cao informed me about the R package on ROC curves. I haven't taken a serious look at it yet, but it looks pretty nice. Following is the link to the website:
There are a lot of things to learn...! :D