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Potential problems

Which of the following statements are TRUE regarding potential problems with holdout samples:

  • A: Using different data splitting methods may lead to varying data in the final holdout samples.
  • B: If you have limited data, your holdout accuracy may be misleading.
  • C: There are no problems. Creating a single train and test sample is the only way to validate models.
  • D: You shouldn't use holdout samples with limited data because you are limiting the potential training data.

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Model Validation in Python

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