Why might a team building a high-value application need a dev set much larger than 10,000 examples?

Teams working on mature, high-value applications like advertising may actively pursue accuracy gains as small as 0.01%.

For high-value applications, the dev set may need to be much larger than _____ examples to detect very small improvements.

Match each high-value application domain to the reason why tiny accuracy improvements matter there.

Order the steps for deciding whether a standard 10,000-example dev set is sufficient for a high-value application.

According to Ng, why does a 0.01% accuracy improvement matter in domains like advertising or web search?

A dev set of exactly 10,000 examples is always large enough to detect accuracy improvements relevant to high-value applications like web search.

In high-value applications, teams may be motivated to find even a _____ improvement because it directly affects the company's profits.

Match each concept to its correct role in the reasoning for larger dev sets in high-value applications.

Arrange the reasoning steps Ng uses to justify larger dev sets in high-value applications, in the order he presents them.

Evaluate the need for ultra-large dev sets in mature business applications.

Sizing a dev set for a high-revenue product recommendation engine.

Financial motivation for scaling dev sets beyond 10,000 examples.