A model's apparent benefit comes from identifiers that correlate with the training sample but are unstable in deployment. Which approach best fits?

1. Unify and test transformation semantics across training and serving.
2. Investigate leakage and spurious correlations with representative validation.
3. Evaluate a governed feature-management approach appropriate to batch and online access.
4. Record metrics with the exact evaluation data and procedure.