Machine Learning, Cross Validation, K Fold, Grid Search, Random Search.
multiple exams, you’ll get a more accurate measure of their knowledge. There are different types of cross-validation: K-Fold Cross-Validation: The dataset is divided into K equal-sized folds. The model is trained on K-1 folds and validated on the remaining fold. This process is repeated K times,