Short Answer

When does a verification test point to a scoring problem?

Question: In an optimization-check procedure, what inequality suggests that the evaluation metric is causing the dev-set mistake rather than the search procedure?

Sample answer: A scoring-rule problem is indicated when the correct output does not earn a higher score than the model's output, written as Score(ztrue)Score(zpred)Score(z_{true}) \le Score(z_{pred}).

Key points:

  • Give the inequality Score(ztrue)Score(zpred)Score(z_{true}) \le Score(z_{pred}).
  • Explain that this pattern means the scoring rule is the source of the error.

Rubric: The response must state the inequality Score(ztrue)Score(zpred)Score(z_{true}) \le Score(z_{pred}) and note that it indicates a scoring-rule error.

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Updated 2026-08-12

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