> They gave the system 100 games from each of about 3000 known players, and 100 fresh games from a mystery player. To make the task harder, they hid the first 15 moves of each game. The system looked for the best match and identified the mystery player 86% of the time...A non-AI method was only 28% accurate.
This sounds incredible, to pick the right player out of 3000 candidates 86% of the time.
I am not sure that pruning the first 15 moves is enough to eliminate the information you get from choice of opening (which is presumably the intention of the restriction). For example, if a player religiously plays the Najdorf Sicilian as Black, you can immediately rule out many(most? ) positions that started with a French or a Ruy Lopez.
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.
This sounds incredible, to pick the right player out of 3000 candidates 86% of the time.
I am not sure that pruning the first 15 moves is enough to eliminate the information you get from choice of opening (which is presumably the intention of the restriction). For example, if a player religiously plays the Najdorf Sicilian as Black, you can immediately rule out many(most? ) positions that started with a French or a Ruy Lopez.
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.