Cross-validation estimates generalization by training and evaluating a model on multiple train/test splits of the same dataset.
AI Glossary
Cross-Validation
Coverage in development
Cross-validation estimates generalization by training and evaluating a model on multiple train/test splits of the same dataset.
Definition
Plain English explanation
You rotate which slice of data is held out for testing so one lucky split does not fool you.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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