CrossValidation.md (437B)
1 # Cross-Validation 2 3 ML CH3 4 5 **Definition:** Cross validation is the process of creating a subset of your data and then training the model on some subset of said data. 6 7 A common form of this is k-fold cross-validation. This creates k-folds (subsets) and trains the model on each subset that is not selected. Then it validates the accuracy upon the one subset that was not selected to be used in training to use it as the validation set.