Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
model, once trained, is evaluated on the hold-out validation subset and the performance is recorded. Once all the K models are trained and the performance on the hold-out validation subset is recorded, the model with the best performance metric is selected as the final model. 5-fold