What Happens to an Older Model with More Data
Question: As you add more and more training examples, what usually happens to the learning curve of a less modern algorithm such as logistic regression?
Sample answer: Its learning curve usually levels off, so extra data brings little or no additional improvement.
Key points:
- The curve levels off.
- Performance reaches a plateau.
- More data stops helping much.
Rubric: The answer must say that the learning curve levels off, plateaus, or that the algorithm stops improving as more data is added.
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