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Machine Learning's First Cheating Scandal
A post-mortem on a Kaggle-era incident where participants gamed the public leaderboard through repeated test-set probing — effectively overfitting to held-out data via the submission API. Raised serious questions about how ML benchmarks and competitions should be designed.
