A small positive class is absent from some ordinary random validation folds. Which split may improve class representation when temporal and grouping constraints permit?

1. Duplicating test positives into training
2. Removing all positive rows from evaluation
3. Splitting only by row number after sorting by class
4. Stratified cross-validation