Kiril Petrovski

Chess Anomaly Detection: Machine learning

Chess Anomaly Detection: Machine learning

Lichess games become player-level records, six unsupervised detectors are compared against synthetic cheats, and an ensemble flagged 312 of 17,909 players for human review. It scored 100/100 as the ML final project.

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