A receiver operating characteristic curve, or ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied.
Could it be used for a regression problem, e.g. housing price prediction? How about bias-variance?
I am trying to train a model that predict the length of cut for operation on patients. I worry about it is reasonable and enough to just using error rate. The indirect evaluation is the recovery of patients after operation.
Could someone please give a hint? Thanks in advance.