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Purpose of New Inputs After Review
Question: After examining the model’s mistakes, you decide to add new input variables. What should those variables be chosen to do?
Sample answer: They should be built to cut down the specific pattern of mistakes that the review uncovered, rather than to improve all errors equally.
Key points:
- Use the review to identify a recurring mistake pattern.
- Add features that reduce that particular kind of error.
Rubric: Must state that the added variables are meant to reduce a specific error pattern or class of mistakes found in the review.
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Machine Learning
Deep Learning
Supervised Learning
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