Order the logical reasoning chain that explains why non-human-level tasks reduce the value of the Eyeball dev set.
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Why is an Eyeball dev set less helpful when humans cannot perform a task well?
An Eyeball dev set is equally useful regardless of whether humans can perform the task well.
When humans cannot do a task well, it is harder to figure out why the algorithm _____ an example correctly.
Match each scenario to the appropriate Eyeball dev set recommendation from Machine Learning Yearning.
Order the steps a practitioner should follow when deciding whether to include an Eyeball dev set.
A team builds a model to detect ultra-low-frequency seismic signals that no human can reliably identify. What should they do about the Eyeball dev set?
According to Machine Learning Yearning, practitioners might omit the Eyeball dev set when humans cannot perform the task well.
For tasks that humans cannot do well, you might _____ having an Eyeball dev set.
Match each concept to its definition in the context of Eyeball dev set decision-making.
Order the logical reasoning chain that explains why non-human-level tasks reduce the value of the Eyeball dev set.