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Decide whether a team should correct labels that block a clear A-versus-B judgment.
Case context: A team uses a dev set to compare Algorithm A with Algorithm B. The team finds that mislabeled dev examples prevent it from confidently deciding which algorithm is better and slow its evaluation process.
Question: Based only on the source criterion, what should the team decide, and why?
Sample answer: The team should spend time correcting the mislabeled dev set labels. The errors are impeding both quick evaluation and the judgment of whether Algorithm A or Algorithm B is better, which is precisely the condition under which the source says correction is worthwhile.
Key points:
- The dev set is used to compare algorithms.
- Mislabeled examples are impeding the comparison.
- Evaluation is no longer quick or decisive.
- The source therefore supports correcting the labels.
Rubric: The response should recommend fixing the labels and connect that decision directly to the impaired speed or reliability of the A-versus-B evaluation.
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Related
Growing Relative Impact of Mislabeled Dev Examples
What determines whether mislabeled dev set labels are worth correcting?
Dev label correction depends on whether mislabeling obstructs algorithm comparison.
Fix dev labels when mislabeling _____ your ability to compare algorithms.
Match each dev-set concept to its role in the label-correction decision.
Order the reasoning used to decide whether to fix mislabeled dev labels.
Explain why the impact of dev-set mislabeling matters more than its mere presence.
Decide whether a team should correct labels that block a clear A-versus-B judgment.
State the practical threshold for correcting mislabeled dev set labels.
Which situation best justifies spending time on dev-set relabeling?
Every mislabeled dev example automatically warrants a relabeling effort.