Case Study

Diagnose a plot where the red dev-error curve stays above the blue training-error curve.

Case context: A plotted result uses a blue curve for training error and a red curve for dev error. The red curve lies strictly above the blue curve.

Question: Does this plot show the usual relationship described in the source, and what does it indicate about performance on the two sets?

Sample answer: Yes. The plot shows the usual relationship because the dev-error curve lies above the training-error curve. It indicates that the algorithm performs better on the training set than on the dev set.

Key points:

  • The red curve represents dev error.
  • The blue curve represents training error.
  • Dev error lies above training error.
  • The algorithm performs better on the training set.

Rubric: The response should identify the relationship as usual and correctly connect the higher dev-error curve with better performance on the training set.

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Updated 2026-07-20

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