Recognizing the Bias Pattern in the Error Rates
Question: If a model has 10% error on the training set, 11% error on the training-dev set, and 12% error on the dev set, what specific kind of bias does this suggest?
Sample answer: The model has high avoidable bias.
Key points:
- High avoidable bias.
- The training error is already too high.
Rubric: Give full credit for identifying avoidable bias or high avoidable bias.
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