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When Should You Retrain Your ML Model? A New Study Says Most Teams Are Solving the Wrong Problem

This story is from 2026-08-25. It is preserved in the archive; the latest stories are on the live feed.

Every production ML model starts degrading the moment it ships. Customer behavior shifts, fraud patterns evolve, market conditions change — the technical term is concept drift , and it's the reason a model that scored great in testing quietly gets worse in the real world, often without anyone notic…

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  1. 2026-08-25 15:14 · DEV Community — Machine Learning
    When Should You Retrain Your ML Model? A New Study Says Most Teams Are Solving the Wrong Problem

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