Definition
The degradation in the predictive performance of a deployed machine learning model over time, typically caused by Concept Drift or Data Drift in the real-world environment.
In short: The degradation in the predictive performance of a deployed machine learning model over time, typically caused by Concept Drift or Data Drift in the real-world environment.