Question: A development set contains 64 labeled examples. Model A is correct on 51 examples, and Model B is correct on 52 examples. In a short analytical response, explain what this says about using the set to choose between the models.

Sample answer: The one-example difference is too small to treat as strong evidence that one model is better. On 64 examples, moving from 51 correct to 52 correct changes accuracy by about 1.56 percentage points, which can easily come from sampling noise. A larger development set would give a more stable comparison. The broader lesson is that 64 examples is still a fairly small sample for model selection in practice.

Key points:

• The development set has 64 examples.
• Model A is correct on 51 examples.
• Model B is correct on 52 examples.
• The difference is one example, or about 1.56 percentage points.
• That gap is not a reliable basis for choosing between the models.
• 64 examples is a small sample for this kind of evaluation.

Rubric: A strong response identifies the 64-example development set, the 51-versus-52 comparison, the one-example gap, and the conclusion that the set is too small to support a confident model choice. It should also note that 64 examples is a small sample for model comparison.