How should you partition dev set errors using the Optimization Verification test?
Question: Describe the process of applying the Optimization Verification test across all errors in a dev set. Detail how each error is classified based on comparing the scores of the correct output and the algorithm's output .
Sample answer: To apply the test in practice, you examine every error in your dev set. For each error, you compare with . If holds, the error is classified as an optimization-algorithm error. If this inequality does not hold (i.e., ), the error is classified as a scoring-function error.
Key points:
- Examine all errors in the dev set rather than focusing on a single example.
- For each error, evaluate the inequality condition .
- Mark errors where the inequality holds as optimization-algorithm errors.
- Count errors where the inequality does not hold as scoring-function errors.
Rubric: The answer should describe examining all dev set errors, comparing and , and mapping the results to optimization-algorithm errors (when ) and scoring-function errors (when ).
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