Model Degradation Trend 2026

Model degradation is the decline in a machine learning model's accuracy or reliability over time, often caused by shifting data patterns. It is used to trigger retraining or replacement of outdated models. Data scientists, ML engineers, and businesses relying on predictive systems benefit most, as early detection preserves performance and reduces costly errors.