Covariate drift vs concept drift vs label drift — the differences.
mediumAnswer
- Covariate drift: P(X) changes, same — model still valid, just used on different inputs (retrain if severe).
- Concept drift: changes — model relationship broken, must retrain.
- Label drift: P(Y) shifts (imbalance changes) — matters most for calibration.
- Rule: monitor all three.
- Concept drift is the hardest to detect without labels (needs delayed ground truth) → proxy via prediction confidence drift.
Check yourself — multiple choice
- Same thing
- Covariate: P(X) shifts, model still valid; Concept: shifts, retrain needed; Label: P(Y) shifts, calibration; monitor all three
- Random
- Only one
Drift types: covariate (P(X)) / concept (P(Y)).
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Practise Unsupervised Learning
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