Mini toolsDefinition
Changes in the distribution of input features over time while the relationship between features and target remains constant.
Detailed Explanation
Data drift occurs when P(X) changes while P(Y|X) remains stable. This type of drift can significantly impact model performance even when the underlying concept remains unchanged. Detection methods often involve statistical tests comparing feature distributions between training and production data.
Use Cases
Customer behavior analysis sensor data processing climate modeling
