Closed AppleJoker94 closed 2 years ago
Hello, I'm sorry for late reply. Auroc need a score in the range of [0,1] to reflect the classification performance, so it does not require a binary classification result such as accuracy. If you want to take a binary classification result, you should set a threshold for the anomaly score e.g. S>threshold is 1 and S<=threshold is 0.
I found anomaly score in def evaluation! Thank you!
Hi, first I was deeply impressed by your model, and I have a question
Is auroc_sp the number of classification?
Can this model perform classication?
Thank you for your wonderful work and I look forward to your reply.