K-Fold Cross-Validation Calculator

K=5: Good balance of bias and variance
K=10: Most common choice, slightly lower bias
K=n (LOOCV): Lowest bias but highest variance

Split data into k folds for cross-validated evaluation

Data Values (comma-separated):

Number of Folds (K):

Shuffle Data:

K-fold CV divides data into k equal parts, using each part once as a test set while training on the remaining k-1 parts.

Common choices for K:

Formula: CV(k) = (1/k) * Sum of test errors across folds