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How to Size an Eyeball Dev Set When Data Is Easy to Review
If data are abundant, the main limit on an Eyeball dev set is how many examples the team can realistically inspect by hand. In practice, teams seldom have time to review more than about 1,000 individual mistakes.
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What is the main purpose of the human-review subset when a validation set is split into two parts?
The label "manual review set" can remind a team that people should inspect those examples directly.
What fraction of the dev set is manually reviewed in the Eyeball subset?
Match each dev set split term to its description.
Arrange the steps for building and using a small review subset from a larger development set in the correct order.
If 20% of a 3,000-example dev set is set aside as the Eyeball dev set, how many examples are in that subset?
If a 400-example Eyeball dev set has the same 20% error rate as the full dev set, you would expect about 80 misclassified examples.
The eye-check dev set should contain enough mistakes for you to _____.
Match each manual-review subset fact to the idea it describes.
Order the steps for deciding whether a small inspection subset is large enough for error analysis.
How should the manual-review subset be named in a voice transcription project?
Split the Development Set Into an Inspection Set and a Locked Set
How large should an Eyeball dev set be for useful manual error review?
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What usually limits the size of a manual review set when data is abundant?
Eyeball Dev Set Size Under Abundant Data
When data is abundant, the human-reviewed development set should be sized according to how many examples the team can inspect _____.
Link each dev-set sizing idea to its meaning.
Order the steps for choosing a development set when data are plentiful.
How should an evaluation set be sized when labeled data is abundant?
How should a manual-audit sample be sized when records are plentiful?
What does it suggest when a team has manually examined more than 1,000 mistakes?
Which choice best matches the advice for sizing a review set when data is plentiful?
True or false: A recommendation of analyzing about 1,000 mistakes means the Eyeball dev set must contain exactly 1,000 examples.