Why is error analysis especially useful when the machine learning task is something people can already do reliably?
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When people can perform a task reliably, their performance can be used as a reference point for analyzing model errors.
Human-Solvable Tasks and Better _____
Match each task situation to the error-analysis implication it supports.
Using Human Performance as a Benchmark for Error Analysis
What should a team expect when its system solves a problem that experienced people cannot judge reliably?
Error Analysis Always Works the Same Way for Every Task
If an ML system depends on abilities that _____ cannot reliably perform, some standard error-analysis techniques stop being useful.
Match each machine learning scenario to its consequence for error analysis tools.
Order the reasoning steps showing how human-performable tasks support better project prioritization.
Using human performance as a reference in machine learning work
When Human Benchmarks Are Unavailable
Why some error analysis methods need a human baseline