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Sizing a Human-Review Dev Set to Reveal Main Error Categories
A human-review dev set should contain enough misclassified examples for manual inspection to reveal the model's main recurring error categories. This guidance is most useful for tasks that people can judge reliably, such as identifying damaged parcels in warehouse photos.
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Spotting Overfitting to a Manually Reviewed Dev Slice
How to Size an Eyeball Dev Set When Data Is Easy to Review
Manual Review Sets Can Be Unhelpful for Tasks People Cannot Judge Reliably
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?
Sizing a Human-Review Dev Set to Reveal Main Error Categories
Learn After
A Small Set of Mistakes Can Still Guide Priorities
A Small Sample of Dev Errors Can Reveal Major Failure Patterns
Reviewing About 100 Eyeball Dev Errors Usually Reveals the Main Failure Patterns
Lower Error Rates Require Larger Review Sets
Why should the manually reviewed dev subset be large enough?
The rough sizing guidance for an eyeball development set is meant for tasks that people can evaluate reliably.
A validation sample should be large enough to reveal the system's main _____.
Match each example count to the amount of insight it typically provides when reviewing errors by hand.
Order the steps for reviewing a validation set to find the most common model mistakes.
Which example task is used to illustrate a rough Eyeball dev set size recommendation?
A tiny validation sample is enough to uncover every major failure mode in a model.
When manual error review is practical
Match each concept to the best description in a model error-analysis setting.
Decide Whether a Human Review Set Is Large Enough
How should an Eyeball dev set be sized to reveal the main error patterns?
Choose the right size for a review set in an image recognition project.
Purpose of an Eyeball Dev Set for Human-Level Tasks
Reviewing About 50 Development-Set Mistakes Can Reveal Main Error Sources