Meaning of a Small Training-Dev Error Gap
Question: In a learning curve that shows high avoidable bias, what does a small difference between training error and development error suggest about the model?
Sample answer: It suggests the model has low variance.
Key points:
- A small training-dev gap indicates low variance.
Rubric: Award credit if the learner correctly identifies the small gap as meaning low variance.
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