Cross-Validation Calculator
Evaluate model performance using k-fold cross-validation
About Cross-Validation
K-fold cross-validation divides data into K subsets, trains on K-1 folds, and tests on the remaining fold, rotating through all combinations.
Benefits:
- Uses all data for both training and testing
- Provides unbiased performance estimate
- Reduces overfitting risk
- Gives variance estimate of model performance