The test estimate is likely inflated by record duplication | AIGP
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The test estimate is likely inflated by record duplication: What interpretation is best supported?

AIGP Understanding How to Govern AI Development Medium

Duplicates crossing splits create leakage, inflating test results; patient-level separation is needed to evaluate performance on new patients.

The question

A medical administration model predicts whether records need manual routing. The team randomly splits records, but many patients have multiple nearly identical entries appearing in both training and test sets. Test accuracy is 96%, while performance drops sharply on newly enrolled patients. What interpretation is best supported?

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  1. The newly enrolled population necessarily requires a different target label
    Performance decline may reflect leakage or distribution differences; it does not establish that the target definition changed.
  2. The high test accuracy demonstrates adequate performance for deployment
    Duplicated records undermine held-out independence, so high test accuracy cannot establish deployment readiness.
  3. The model needs additional duplicated records for stability
    Adding duplicates would reinforce leakage and may improve apparent scores without improving performance on new patients.
  4. The test estimate is likely inflated by record duplication
    Near-duplicate patient records across splits allow memorization, making the reported test accuracy an unreliable estimate of generalization.
The trap
Check the unit of independence before trusting a random split; related records can invalidate an apparently held-out test.

How to remember it

Duplicates crossing splits create leakage, inflating test results; patient-level separation is needed to evaluate performance on new patients.

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