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Lower Error Rates Require Larger Review Sets
When a classifier makes fewer mistakes, a larger development sample is needed to collect enough wrong predictions for careful inspection. For example, if the error rate is 4%, then about 2,500 examples are needed to expect roughly 100 misclassified cases.
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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
Learn After
If a fraud detector has a 3% error rate, about how large should the eyeball development set be to expect roughly 90 mistakes?
If a classifier makes fewer mistakes, the eyeball dev set can usually be smaller and still collect enough errors for analysis.
A validation set with a 5% mistake rate needs about _____ examples to contain roughly 100 wrong predictions.
Match each classifier-error concept to its dev-set implication.
Order the steps for estimating the required size of an Eyeball dev set from a model's error rate.
Why does a low classifier error rate call for a larger review set?
A classifier with an 8% error rate needs an Eyeball dev set of 2,500 examples to collect about 100 mistakes.
The _____ the classifier error rate, the larger the review set must be to collect enough misclassified examples.
Approximate Review-Set Sizes Needed to See About 100 Errors
Order the logic that explains why a better classifier can require a bigger dev set for error review.
How Dev-Set Error Rate Affects Eyeball Dev Set Size
Sizing a Manual Review Set for a High-Accuracy Defect Detector
Why a 2,000-Item Manual Review Set Fits a 5% Error Rate