A simulation finds that e-fold cross-validation, which stops folding when the confidence interval of the mean stabilizes, uses 41.5% of the energy of 10-fold cross-validation with an average 1.81% difference in results.
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e-Fold Cross-Validation for Recommender-System Evaluation
A simulation finds that e-fold cross-validation, which stops folding when the confidence interval of the mean stabilizes, uses 41.5% of the energy of 10-fold cross-validation with an average 1.81% difference in results.