Various methods exist for general cross-validation techniques, such as hold-out cross-validation and k-fold cross-validation. These techniques help to reliably estimate the generalization performance of a model, that is, how well the model performs on unseen data. A classical and popular approach to estimate the generalization performance of machine learning models is the hold-out method. The i..
