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Inspecting roughly 100 mistakes by hand is often enough to identify the main categories of errors in an eyeball dev set. If more labeled examples are available, it can still be useful to review additional errors, but the first hundred usually give a strong sense of where the system is failing.

Reviewing About 100 Eyeball Dev Errors Usually Reveals the Main Failure Patterns

How Many Errors to Inspect Before Looking for Patterns?

Baseline Number for _____ Misclassifications

Matching Error-Sample Counts to Meanings

Steps for Deciding on Manual Error Review Size

Question:
Discuss the typical minimum number of validation mistakes that should be inspected manually and explain when reviewing many more mistakes is acceptable.

Sample answer:
A common baseline is to inspect about 100 mistakes by hand. That is usually enough to reveal the main sources of error in the system. In some cases, analysts inspect many more, even around 500 errors, and that is fine as long as there is enough data to support the larger review.

Key points:
- Baseline of about 100 mistakes
- Usually enough to identify major error sources
- Larger reviews, such as 500 mistakes, can also be reasonable
- There must be enough data to support the extra review

Rubric:
A strong answer should state the approximate baseline of 100 mistakes, explain that the purpose is to understand the main error sources, and note that reviewing more is acceptable when sufficient data is available.

How many validation errors should be reviewed by hand?

Case context:
A team is improving a customer-support ticket classifier. Their validation set is large, and the model is making many mistakes. The lead scientist wants to inspect 400 misclassified examples to get a very detailed picture of the failure patterns, while another engineer says that 120 examples are enough.

Question:
Using the idea of a manual error-review set, assess the lead scientist's plan. Is it reasonable, and why?

Sample answer:
Yes, the plan is reasonable. Reviewing about 120 mistakes is often enough to identify the major error sources, but examining 400 mistakes is also acceptable. The main requirement is that the team has enough data to support the extra analysis, and in this case the dataset is large enough.

Key points:
- Around 120 errors is enough to see the main patterns
- Reviewing 400 errors is acceptable
- The team has enough data for the larger review

Rubric:
The answer should explain that 120 examples can reveal the main error sources, while also stating that 400 examples is fine when the dataset is large enough.

How Many Model Errors Should Be Reviewed?

Question:
What is the main benefit of manually examining about 100 mistakes from your dev set?

Sample answer:
It helps you quickly identify the biggest patterns behind the model's errors.

Key points:
- Identifies the main error patterns
- Helps focus improvement efforts

Rubric:
Credit is given for mentioning that it reveals the main sources or patterns of errors.

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