Cross-validation is a statistical method used to evaluate machine learning models. Subsets of the available input data are used to train the model, and a complementary subset of the data is used ...

Frequently asked Questions What is cross-validation in machine learning? Cross-validation is a statistical method used to evaluate machine learning models.