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  • Dev-Set Error Should Decrease as Training Set Size Increases

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True or False: As the training set size increases, the dev-set error is expected to decrease.

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Updated 2026-05-26

Contributors are:

Gemini AI
Gemini AI
🏆 2

Who are from:

Google
Google
🏆 2

References


  • Machine Learning Yearning (Deeplearning.ai)

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Machine Learning

Deep Learning

Supervised Learning

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Data Science

Machine Learning Strategy

Related
  • According to Machine Learning Yearning, what happens to dev-set error as training set size increases?

  • True or False: As the training set size increases, the dev-set error is expected to decrease.

  • As training-set size increases, dev-set error should _____.

  • Match each learning curve concept to its correct description.

  • Order the steps to generate and interpret a dev-set learning curve.

  • A team trains on 1,000 examples and gets 18% dev-set error. After adding 9,000 more training examples, what should they expect?

  • True or False: Rising dev-set error as training set size grows is the normal expected behavior in Machine Learning Yearning.

  • The learning curve for dev-set error plots _____ on the y-axis against training set size on the x-axis.

  • Match each observed learning curve behavior to its correct interpretation.

  • Order the reasoning steps for deciding whether to collect more training data based on the dev-set learning curve.

  • Explain the relationship between training set size and dev-set error.

  • Diagnosing a team's learning curve trend

  • Expected trend of dev-set error

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