All glossary terms
techniquesintermediate
Cross-Validation
A technique that splits data into multiple folds to get more robust performance estimates.
In more detail
K-fold cross-validation trains and evaluates k times on different data splits, averaging results. Reduces variance in performance estimates and uses data efficiently. Stratified k-fold preserves class distributions.
Examples
- 5-fold cross-validation
- Stratified k-fold for imbalanced data
- Time series cross-validation
Related terms
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