Glossary · Phase 3 · Machine learning
Hyperparameter
A setting you choose before training, such as tree depth or learning rate, rather than one the model learns.
Try it now
Every row gets to be test data once, so one lucky split can't fool you.
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.
- fold: One of the equal slices that cross-validation cuts the data into. Each fold takes a turn as the held-back data.
- grid search: Trying every combination from a list of settings, scoring each with cross-validation, and keeping the best.
Never trained an AI?
Teach a small one to write, right in your browser. It takes about 20 seconds and needs no account.