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How can error analysis suggest new input features?
Question: Answer in one to three sentences.
Sample answer: A careful review of mistakes can show that the model struggles with one specific kind of case. That clue can motivate adding a new input feature designed to help the model distinguish that case from others and reduce that error pattern.
Key points:
- Inspect errors to find a recurring pattern
- Use that pattern to decide on a new feature
- Aim the feature at the troublesome subset of examples
Rubric: The answer should connect error analysis to creating an additional feature that targets a specific recurring category of mistakes.
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