Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
prediction error and “true” prediction error is very low. The disadvantage, however, is that LOOCV is computationally expensive and the variance can be high, meaning that our prediction performance estimate can fluctuate strongly around its “true” value. In contrast, if we choose K=5 or K=10, the