Handle concept drift in models
Maintain model performance over time
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Design a strategy to detect and handle concept drift in a production [classification/regression] model trained on [describe data]. Implement drift detection using [ADWIN/Page-Hinkley/DDM], define retraining triggers, design a champion-challenger framework, and set up monitoring alerts for performance degradation.
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