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Why can a larger model lower avoidable bias?
Question: Why does increasing model size often help reduce avoidable bias?
Sample answer: A larger model has more capacity, so it can fit the training data more closely. That usually lowers avoidable bias because the model is less limited by underfitting.
Key points:
- More model capacity.
- Better fit to the training set.
- Reduced underfitting, which lowers avoidable bias.
Rubric: Give full credit when the response explains that a larger model can fit the training data better because it has more capacity.
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