What should you do BEFORE investing a month of development time on a proposed ML improvement?

Error analysis provides a quantitative basis for deciding whether to invest development time in a proposed improvement.

Before investing a month on a task, Ng recommends you first _____ how much it will actually improve the system's accuracy.

Match each error analysis concept to its role in making project investment decisions.

Order the steps for using error analysis to make a project investment decision.

What does the 'simple counting procedure' of error analysis give you a quick way to estimate?

According to Machine Learning Yearning, you should implement a proposed improvement before estimating its potential accuracy gain.

Error analysis gives you a quick way to estimate the possible _____ of incorporating an improvement into your ML system.

Match each error analysis result to the investment decision it most directly supports.

Order the reasoning steps for deciding whether a specific error category is worth one month of development time.