Concept Drift - What is concept drift and how do you identify it?

Concept drift involves changes in data patterns and relationships that a machine learning model has learned, which can potentially lead to a drop in the model's quality. To identify concept drift, one can monitor the model's quality using metrics such as accuracy or mean error.