Glossary

Cross-validation — Glossary

Rotating held-out data folds to estimate generalization more robustly.

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Full definition

k-fold cross-validation averages performance across splits. Use time-aware splits for temporal data and avoid leakage by fitting preprocessors inside each training fold.

Related encyclopedia topic

Cross-Validation — Cross-validation estimates how well a model generalizes by repeatedly training and evaluating on different splits of the data.

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