Out-of-fold cross-validation

Machine Learning Maria uses a special tool to check how well these "sniffers" are working together as a team (implying evaluation of an ensemble's performance)

Technical definition

A method used to evaluate the generalization performance of machine learning models by training and evaluating them on different subsets of data.

Browse the Nebula Glossary