Question: In a concise analytical response, explain why 2% error should be used instead of 5% or 10% when estimating the optimal error rate and setting desired performance.

Sample answer: The 2% error achieved by the doctor team is the best demonstrated human performance among the available baselines. Therefore, 5% and 10% are too high as optimal-error proxies because humans can already do better. Using 2% also provides an achievable desired error rate. The true optimal error could be below 2%, but it cannot be above 2% because the team has demonstrated that level.

Key points:

• The doctor team achieves 2% error.
• The 5% and 10% baselines are worse than demonstrated team performance.
• The 2% result is a reasonable optimal-error proxy and desired level.
• The true optimal error may be lower than 2% but cannot be higher.

Rubric: A strong response identifies the doctor team as the best achievable human baseline, explains why 5% and 10% are too high, connects 2% to both the optimal-error proxy and desired performance, and preserves the distinction between a proxy and the true optimum.