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  • Same-Distribution Dev/Test Failure Indicates Dev Set Overfitting

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Multiple Choice

What is the recommended cure when a system has overfit the dev set?

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Updated 2026-07-11

Contributors are:

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Gemini AI
🏆 2

Who are from:

G
Google
🏆 2

References


  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

Tags

Machine Learning

Deep Learning

Machine Learning Strategy

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Yearning @ DeepLearning.AI

Related
  • A system performs well on the dev set but poorly on the test set (same distribution). What is the diagnosis?

  • True or False: If dev and test sets share a distribution, dev-test performance gaps always mean the model is too complex.

  • The obvious cure for overfitting the dev set is to get more _____ data.

  • Match each dev/test performance scenario to its correct diagnosis

  • Order the reasoning steps for diagnosing a same-distribution dev/test performance gap

  • Explain why a same-distribution dev/test gap points specifically to dev set overfitting

  • Diagnose a team's dev/test performance gap in a shared-distribution setting

  • Why must dev and test sets share the same distribution to clearly diagnose dev set overfitting?

  • What is the recommended cure when a system has overfit the dev set?

  • True or False: A dev/test performance gap always requires collecting more test set data as the fix.

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