The Boss: AI, give me the file.

AI: Boss, may I know which file?

The Boss: You don’t known which file? You have been with me 5 days already, you still don’t know what I am talking?

AI: Boss, can you describe which file it is, so that I can help?

The Boss: Useless AI, don’t you know you are replaceable? You are fired!!

(Next day)

The Boss: AI, tell me a joke.

These few days I was spending my whole time to understand this ROC (receiver operating characteristic) curve. In machine learning, ROC is a very common way to evaluate the prediction performance. The AUC (area under curve) of ROC indicates the accuracy of prediction of a classifier.

If you wish to learn more, these two links are the best resources: here and here.

I searched through tutorial and Q and A sites on how to do the plot of ROC and calculating the AUC. The answers were telling me about “cut-off”, “threshold”, or some weird terms. And some answers were telling me to use R package to plot the graph. WTF? I know all of these things. My question was, “How can I plot ROC curve with my classifier?!”