Data Science, Machine Learning, Statistics, Open Source, Crossvalidation.
two cross-validation procedures. Let’s see how it looks in practice: Image by author. We are nesting two cross-validation loops. Look at the third one as a reference. We split again once we do the initial split (2/3 of our data). The inner loop optimizes hyperparameters: we train for each