Short Answer

What condition identifies a scoring-function error in optimization verification?

Question: In the Optimization Verification test, what mathematical condition indicates that a dev set error is a scoring-function error rather than an optimization-algorithm error?

Sample answer: A scoring-function error is identified when ScoreA(S)ScoreA(Sout)Score_A(S^*) \le Score_A(S_{out}), where SS^* is the correct target output and SoutS_{out} is the algorithm's output.

Key points:

  • State the inequality condition ScoreA(S)ScoreA(Sout)Score_A(S^*) \le Score_A(S_{out}).
  • Identify that this inequality marks the error as a scoring-function error.

Rubric: The response must state the inequality ScoreA(S)ScoreA(Sout)Score_A(S^*) \le Score_A(S_{out}) and clarify that this condition represents a scoring-function error.

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Updated 2026-05-26

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