I am using elastic net for binary classification, where the outcomes are either 1 or 0 (they could also be 1 or -1, but I am not sure which one is better).
The output of the net is real valued though, and I am not sure how to interpret them. any ideas?
It seems like a sensible thing to do is to say anything larger than 0.5 is classified as 1, and 0 otherwise. But I certainly cannot interpret this as a probability correct? In fact many of the values are less than 0.