Also known as: Drift (Data/Model Drift) Β· Data/Model Drift Β· Drift Data and Model Drift Β· Drift [Data Model Drift]
Drift is performance degradation or behavior change that occurs when real-world data, relationships, or operational conditions move away from the assumptions present during training or evaluation. Data drift and model drift are managed through monitoring, evaluation, retraining, and governance controls.
Performance degradation when real-world data changes away from training assumptions. Detect via monitoring, evals and periodic re-training.