I've used Classify[...] for a two class image classification problem which has yielded pretty good results. I let Mathematica select an algorithm for me and it picked a GBT model, everything looked good and the algorithm performed well.
I put the whole thing away for a while, but now it's come time to publish and although it's a small part of the study I feel I should know what loss function Mathematica chose for the model. I figured this would be easily accessible but I can't seem to find a citation or mention of this anywhere. I'm fairly certain it must use cross entropy, but "fairly certain" obviously isn't going to get past a reviewer.
If anyone has any idea, or knows how to get this information out of the model after training, I'd be very grateful if you could share your insights.