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If your goal is to have “human-level performance” be a proxy (or estimate) for Bayes error, how would you define “human-level performance”?
You ask a few people to label the dataset to find out what is human-level performance. You find the following levels of accuracy:
- Expert #1: 0.3% error
- Expert #2: 0.5% error
- Normal Person #1 (not an expert): 1.0% error
- Normal Person #2 (not an expert): 1.2% error
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Data Science
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