Machine Learning, Overfitting.
the data into k subsets, called folds. Then, we iteratively train the algorithm on k-1 folds while using the remaining fold as the test set (called the “holdout fold”). Cross-validation allows you to tune hyperparameters with only your original training set. This allows you to keep your test set as