Handling Data Drift

Models degrade over time. If your input distribution changes (covariate shift), your model's predictions will silently fail.

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Detection Metrics

Use statistical tests (Kolmogorov-Smirnov) or Population Stability Index (PSI) to compare incoming production features against the training set distribution.

Retraining Strategy

Do not retrain on a fixed schedule. Retrain when drift thresholds are breached, and utilize a shadow-deployment (champion/challenger) to verify the new model improves metrics.

Internal Resources