Small Dev Sets Cannot Detect Tiny Accuracy Differences

Common Dev Set Sizes for Detecting 0.1% Improvements

High-Value Applications May Need Larger Dev Sets

Statistical Significance Tests on Dev Set Changes

Which dev set best supports detecting a 0.1 percentage-point accuracy improvement?

A dev set should always be made as large as possible, even beyond what meaningful-change detection requires.

A dev set of _____ examples gives a good chance of detecting a 0.1% improvement.

Match each accuracy-detection goal with its dev set implication.

Order the reasoning process for sizing a dev set around a meaningful accuracy change.

Explain how the size of a meaningful accuracy improvement should influence dev set size.

Decide whether a mature recommendation system needs a larger dev set.

Why is a 100-example dev set inadequate for comparing 90.0% and 90.1% accuracy?

When is a dev set much larger than 10,000 examples most justified?

A team satisfied with detecting meaningful changes need not enlarge its dev set far beyond that requirement.