Question: What happens to the learning curve of an older algorithm like logistic regression as you accumulate massive amounts of data?

Sample answer: The learning curve of an older algorithm like logistic regression typically "flattens out" or plateaus, meaning it stops improving even with more data.

Key points:

• The learning curve flattens out.
• The performance plateaus.
• It stops improving with more data.

Rubric: The answer must mention that the learning curve flattens out, plateaus, or that the algorithm stops improving.