> I'd like to see what the best results are from a model that just looks at the position after move 15, and use that as a baseline. Reading the paper, they hav

> I'd like to see what the best results are from a model that just looks at the position after move 15, and use that as a baseline. Reading the paper, they have an "opening baseline" which consists of frequency analysis on a player's first 5 moves. That model has 93% accuracy! The mapping of first-five-move sequences to the positions obtained after them is almost a bijection (there are some transposition, but a small effect) so that's similar to my proposal. I can't tell whether the 15-move cutoff is 15 half-moves, so 7-8 moves per player, or 15 moves each which is how every chess player would read the sentence. Either way, I haven't completely read the paper yet, but I don't think it addresses the rebuttal of "I will just change my openings and the machine won't detect me".