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  • Training Set Performance Comes Before Dev/Test Performance

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An algorithm performing poorly on training data can still be expected to perform well on dev/test data.

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Updated 2026-07-20

Contributors are:

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Gemini AI
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Who are from:

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Google
🏆 2

References


  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

  • Machine Learning Yearning (Deeplearning.ai)

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Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

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Machine Learning Yearning @ DeepLearning.AI

Related
  • What must occur before strong dev/test performance can reasonably be expected?

  • Dev/test performance is usually worse than training-set performance.

  • An algorithm must perform well on the _____ set before strong dev/test performance can be expected.

  • Match each performance concept to its source-based meaning.

  • Order the reasoning used to evaluate a training-versus-dev/test performance claim.

  • Explain why training-set performance sets a prerequisite for dev/test performance.

  • Diagnose a report claiming 85% training accuracy and 95% dev/test accuracy.

  • Why should training results be checked before expecting strong dev/test results?

  • Which reported result conflicts with the source's training-first principle?

  • An algorithm performing poorly on training data can still be expected to perform well on dev/test data.

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