Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
difference between models, our validation set must not be smaller than 1000 samples, but 10000 samples would suffice. For algorithm selection, following the above reasoning, we can use several train/validation/test sets, one triple per algorithm. Since this method is quite data-demanding, we will