Short Answer

Identify the diagnosis and cure for poor test performance when distributions match.

Question: If a machine learning system performs well on the dev set but poorly on the test set, and both sets come from the exact same distribution, what is the clear diagnosis of the problem and its obvious cure?

Sample answer: The clear diagnosis is that the system has overfit the dev set. The obvious cure for this issue is to get more dev set data.

Key points:

  • The diagnosis is that the model has overfit the dev set.
  • The cure is to obtain more dev set data.

Rubric: The response must identify 'overfitting the dev set' (or equivalent phrase) as the diagnosis and 'getting more dev set data' (or equivalent phrase) as the cure.

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Updated 2026-05-26

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