AI Glossary

Cross-validation

What does “Cross-validation” mean?

Cross-validation: Evaluating a model across several train-and-validation partitions.

Cross-validation visual guide: Evaluating a model across several train-and-validation partitions.
Visual guide Open full size (new tab)

What is an example of “Cross-validation”?

In five-fold cross-validation, each fold serves as validation once.