11/03/2024.
In Machine Learning, a common technique used to train a robust and generalizable model, is cross-validation. It divides the dataset into multiple subsets, where typically one of them is the validation set and the remainder consist the training set.
Keep reading at Stratified K-Fold cross-validation for imbalanced datasets.