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What are the two parts of a typical scoring-and-search design?
Question: In one to three sentences, identify and briefly describe the two parts of a common design pattern used to rank candidate outputs.
Sample answer: The pattern includes an approximate scoring rule that assigns a quality value to each candidate output, and a search or optimization procedure that explores the candidates and returns the one with the best score.
Key points:
- Approximate scoring rule estimates how good each output is
- Search or optimization procedure finds the highest-scoring output
Rubric: Full credit for naming both the scoring rule and the search/optimization step and briefly explaining each role.
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Data Science
Machine Learning
Deep Learning
Supervised Learning
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