Glossary · Phase 3 · Machine learning
Fold
One of the equal slices that cross-validation cuts the data into. Each fold takes a turn as the held-back data.
Learn it properly
Cross-validation · Reuse limited data for more reliable estimates. About 30 minutes.
Other terms from the same lesson
- cross-validation: Scoring a model several times on different held-back slices of the data, for a steadier estimate.
- grid search: Trying every combination from a list of settings, scoring each with cross-validation, and keeping the best.
- hyperparameter: A setting you choose before training, such as tree depth or learning rate, rather than one the model learns.