Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
distribution. In K-fold Cross-validation, the available training dataset is divided into k non-overlapping subset and K models are trained. For each model, one of the k subsets is used for validation while the rest of the (k-1) subsets are used for training (as shown in the figure below). The