Mini toolsDefinition
The phenomenon where the relationship between input features and target variables changes over time.
Detailed Explanation
Concept drift represents a fundamental change in the underlying patterns that a model is trying to learn often due to evolving real-world conditions. This can manifest as changes in P(Y|X) while P(X) remains stable. Detecting and adapting to concept drift is crucial for maintaining model performance in production systems.
Use Cases
Credit scoring systems recommendation engines spam detection
