Use the Strongest Practical Human Benchmark as a Proxy

Estimating Human Error on Mobile Cat Images

A Large Training-to-Validation Gap Signals High Variance

Why is the optimal error rate for detecting a bicycle in a clear photo close to 0%?

If 8% of satellite images are impossible for experts to label correctly because thick cloud cover hides the target, the best achievable classification error is approximately 8%.

Human-level performance is often used as a proxy for the _____ error rate on a task.

Match each situation with the approximate best possible error rate suggested by human performance.

Order the steps for using human performance as a stand-in for the best achievable error rate and deciding whether to reduce bias.

A defect detector has 12% error, while expert annotators have 4% error. What is the avoidable bias and what should you do next?

Assuming a Zero Error Floor

In a task where people almost never miss the correct answer, the ideal error rate is nearly _____.

Match each term to its meaning when human performance is used as a practical benchmark for model error.

Order the steps for deciding whether a task has a near-zero or a much higher best-possible error rate.

How model and expert error comparison reveals bias

Selecting a Desired Error Rate Proxy for a Noisy Dictation System

What information should a person use when checking one stage of a pipeline against human performance?