Eyeball Dev Set
The Eyeball dev set is the portion of a split dev set that one manually examines for error analysis. It is named Eyeball as a reminder that it is being looked at with the eyes; for a speech recognition project in which one listens to audio clips, it might instead be called an Ear dev set. It is created by randomly selecting some fraction of the dev set, for example 10%, with the aim of including roughly 100 misclassified examples to look at. Continuing the running example, 10% of a 5,000-example dev set produces an Eyeball dev set of 500 examples, of which the algorithm is expected to misclassify about 100.
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Related
Eyeball Dev Set
Blackbox Dev Set
Using the Entire Dev Set as the Eyeball Dev Set When It Is Too Small to Split
Why explicitly divide a large dev set into examined and unexamined portions?
Does manual examination make one dev subset more prone to overfitting?
The unexamined dev subset can be used to tune _____.
Match each dev-set concept with its role or consequence.
Order the reasoning for handling a large dev set with many errors.
Explain how an explicit dev-set split exposes overfitting from manual error analysis.
How should a team handle about 1,000 errors in a 5,000-example dev set?
What distinct purpose does each portion of the split dev set serve?
Which development pattern signals overfitting to the manually inspected subset?
Should a dev set that is too small to divide still be split into two portions?
Learn After
Detecting Eyeball Dev Set Overfitting by Comparing Performance Against the Blackbox Dev Set
Sizing the Eyeball Dev Set When Data Is Plentiful
Eyeball Dev Set Should Reveal Major Error Categories
Eyeball Dev Set May Be Omitted for Tasks Humans Cannot Do Well
What is the primary purpose of the Eyeball dev set when a large dev set is split into two subsets?
The name 'Eyeball dev set' is a reminder that a human manually looks at this portion of the dev set.
The Eyeball dev set is created by randomly selecting _____ of the dev set to be manually examined.
Match each term related to dev set splitting to its correct description.
Arrange the steps for creating and using an Eyeball dev set from a large dev set in the correct order.
If you take 10% of a 5,000-example dev set as your Eyeball dev set, how many examples does the Eyeball dev set contain?
A 500-example Eyeball dev set drawn from a 5,000-example dev set is expected to contain about 100 misclassified examples.
The Eyeball dev set should be large enough so that your algorithm misclassifies enough examples for you to _____.
Match each Eyeball dev set fact to the concept it illustrates.
Arrange the reasoning steps for deciding whether an Eyeball dev set is properly sized in the correct logical order.
Explain how speech recognition tasks change the naming of the Eyeball dev set and the purpose of this naming convention.
Propose a dev set splitting strategy to balance manual error analysis with objective performance evaluation.
Explain the primary requirement for sizing an Eyeball dev set during error analysis.