Question: Why is it useful to record error categories even when you do not yet know how to improve them?

Sample answer: It is still worthwhile to track those categories because error analysis is meant to deepen your understanding of the system. Recording them shows how often they occur and how much they matter, which helps you see where the model is struggling. Even without an immediate fix, that information can guide later work toward the problems that are most important or most frequent.

Key points:

• Improves understanding of the model’s behavior
• Shows the frequency and impact of each error type
• Helps prioritize future work
• A category can be useful before a fix is known

Rubric: A strong response should explain that tracking difficult categories helps build insight and identify where future effort should go, even if no direct solution is available yet.