How does stratified k-fold Cross-Validation differ from regular k-fold Cross-Validation?

Stratified k-fold Cross-Validation differs from regular k-fold Cross-Validation by ensuring that each fold has an equal distribution of classes. This approach maintains the same proportion of target classes in each fold, providing a more representative sampling of the data and more robust model validation, especially in imbalanced datasets.