Use the Best Achievable Human Team to Define Human-Level Performance

Measuring Human Error on Mobile-Image Examples

High Variance Indicated by 1% Training Error and 5% Training-Dev Error

Why is the optimal error rate for cat recognition nearly 0% according to Machine Learning Yearning?

If 14% of audio clips are too noisy for humans to understand, the optimal speech recognition error rate is approximately 14%.

Human-level performance is used as a proxy to estimate the _____ error rate on a given task.

Match each task scenario to the approximate optimal error rate implied by human-level performance.

Order the steps for using human-level performance to estimate optimal error rate and guide bias reduction.

An algorithm achieves 10% error on a task where humans achieve 2% error. What is the avoidable bias and what action does this suggest?

Human-level performance always equals 0% error, so the optimal error rate is always 0% for any machine learning task.

In the cat recognition example, because a human can recognize cats almost all the time, the ideal error rate is nearly _____.

Match each key term to its definition in the context of human-level performance as an optimal error rate proxy.

Order the reasoning steps for deciding whether a task's optimal error rate is near 0% or substantially higher.