How is concept drift different from data drift?
mediumAnswer
- Concept drift is a change in the relationship — the mapping from features to label evolves over time (customer behavior changes, fraud patterns evolve).
- Data drift changes P(X); label drift changes P(y).
- Concept drift is more dangerous because inputs may look normal but predictions become wrong.
- Detect it by monitoring model performance on labeled data or via delayed feedback and calibration checks.
Check yourself — multiple choice
- Concept drift = change in P(X)
- Concept drift = change in
- Concept drift and data drift are the same
- Concept drift is easy to detect without labels
Concept drift: the labeling function itself has changed.
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