K-Fold Cross-Validation
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Questions and Answers

Which method is helpful when the performance of your model shows significant variance based on your train-test split?

  • Partition evaluation
  • Model calibration
  • Hold-out validation
  • Cross-validation (correct)

    • What is the final score in the cross-validation method?

  • The maximum score obtained on any partition
  • The minimum score obtained on any partition
  • The average of the scores obtained on all partitions (correct)
  • The score obtained on the last partition

    • Does cross-validation exempt you from using a distinct validation set for model calibration?

  • Cross-validation replaces the need for model calibration
  • Yes, cross-validation eliminates the need for a validation set
  • Cross-validation can be used as a validation set
  • No, cross-validation requires a distinct validation set (correct)

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