Analysis of k-Fold Cross-Validation over Hold-Out Validation on Colossal Datasets for Quality Classification

While training a model with data from a dataset, we have to think of an ideal way to do so. The training should be done in such a way that while the model has enough instances to train on, they should not over-fit the model and at the same time, it must be considered that if there are not enough ins... View More