Which one is correct?
"problem of over-fitting" or "problem of over-training"?

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problem of over-fitting

This phrase is correct and commonly used in the context of machine learning and data analysis.

This phrase refers to the situation where a machine learning model performs well on the training data but poorly on unseen data due to being overly complex.

Alternatives:

  • over-fitting issue
  • over-fitting problem
  • over-fitting challenge

problem of over-training

This phrase is correct and commonly used in the context of machine learning and data analysis.

This phrase also refers to the situation where a machine learning model performs well on the training data but poorly on unseen data due to being overly complex.

Alternatives:

  • over-training issue
  • over-training problem
  • over-training challenge
Both phrases, 'problem of over-fitting' and 'problem of over-training', are commonly used in the context of machine learning and data analysis. They refer to the situation where a model performs well on the training data but poorly on unseen data due to being overly complex. Both phrases are correct and interchangeable in this context.

Last Updated: March 19, 2024

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