Rationale for a 2,000-Example Eyeball Dev Set at a 5% Error Rate
Question: Briefly explain why an Eyeball dev set needs to be approximately 2,000 examples large when a classifier's error rate is exactly 5%.
Sample answer: At a 5% error rate, 2,000 examples are needed to ensure the Eyeball dev set contains about 100 misclassified examples (0.05 * 2,000 = 100), which provides a large enough set of errors to manually analyze.
Key points:
- 0.05 * 2,000 = 100
- The goal is to obtain roughly 100 misclassified examples for analysis
Rubric: The response should explicitly state the math (5% of 2000) or mention the target of capturing approximately 100 errors for analysis.
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Rationale for a 2,000-Example Eyeball Dev Set at a 5% Error Rate