Human-Level Performance as a Proxy for Optimal Error Rate

What does measuring human label accuracy relative to the training set give you, according to Machine Learning Yearning?

Tasks that humans are reasonably good at, such as recognizing pictures, are suitable for estimating the optimal error rate via human labels.

To estimate the optimal error rate on a human-friendly task, you ask a human to provide _____ and measure their accuracy relative to the training set.

Match each concept to its definition in Machine Learning Yearning's method of estimating optimal error rate via human labels.

Arrange the steps for estimating the optimal error rate via human labels in the correct order described in Machine Learning Yearning.

Which pair of tasks does Machine Learning Yearning explicitly cite as examples where human labels can estimate the optimal error rate?

In Machine Learning Yearning's method, human label accuracy is measured relative to the test set to estimate the optimal error rate.

According to Machine Learning Yearning, recognizing pictures and transcribing _____ are examples of tasks humans are reasonably good at.

Match each action in the human-label estimation method to its purpose, as described in Machine Learning Yearning.

Arrange the reasoning steps in correct logical order for why human labels on human-friendly tasks can estimate the optimal error rate.

Explain human label usage for estimating optimal error rate

Medical image recognition optimal error estimation

Tasks suitable for human-label error estimation