Concept
What is model drift and how do you detect it?
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Answer
Data drift: input distribution changes. Concept drift: relationship between inputs/outputs changes. Detect via: statistical tests (KS test, PSI), monitoring prediction distributions, shadow models, periodic retraining triggers. Tools: Evidently, Whylogs, Arize.