Why plot training and validation error together?
Question: What is the main advantage of placing the training error curve and the validation error curve on the same graph instead of inspecting them separately?
Sample answer: It makes it easier and more confident to estimate the validation error trend.
Key points:
- A shared plot helps project the validation error more reliably.
- Comparing both curves directly increases confidence in that estimate.
Rubric: The response should explicitly state that plotting them together improves confidence in estimating or projecting the validation error.
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