Case context: A team manually reviews about 20 mistakes made by its classifier on Eyeball dev examples. The review suggests that several error sources account for many of the observed mistakes.

Question: What should the team conclude from this review, using only the claim supported by the source?

Sample answer: The team can conclude that it is starting to gain a rough sense of the classifier's major error sources. It should not describe the review as a complete or exact account, because the source supports only a rough initial sense after about 20 mistakes.

Key points:

• Manual review of about 20 mistakes
• Eyeball dev examples
• Major error sources
• Rough rather than complete understanding

Rubric: Full credit requires a decision limited to a rough sense of major error sources and recognition that the evidence does not support claiming complete or exact knowledge.