What is Cross Validation?

Updated May 17, 2026

Short answer

Cross-validation evaluates model stability across multiple folds.

Deep explanation

It reduces variance in performance estimates and improves hyperparameter tuning.

Real-world example

Banks validate risk models before deployment.

Common mistakes

  • Data leakage across folds.

Follow-up questions

  • What is k-fold validation?
  • Why use stratification?

More Logistic Regression interview questions

View all →