Model Drift

Model drift encompasses both concept drift and data drift representing any change that causes a model's predictions to become less accurate over time. This can be due to changes in user behavior environment or data collection processes. Regular monitoring and retraining strategies are essential for maintaining model performance.

Real-time recommendation systems autonomous vehicles weather forecasting