Input distributions remain stable, but the relationship between features and outcomes changes and quality declines. Which issue is most consistent with this?

Published
  1. Proof that no drift exists because feature averages are unchanged.
  2. Concept drift affecting the learned relationship.
  3. Only an endpoint DNS caching problem.
  4. Only insufficient log retention, regardless of outcome changes.

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