Concept drift is when the statistical relationship between features and target changes over time.

Concept drift is when the statistical relationship between features and target changes over time. Detect with PSI on feature distributions, model performance monitoring on recent windows, or KS test. Handle by retraining periodically, using a sliding window of recent data, or building an ensemble that weights recent data more.