A Reusable J48-Targeting Python Backend for Scikit-Learn Workflows: Differential Validation Against WEKA J48

Backend substitution in Python-native machine-learning workflows is attractive for integration and performance reasons, but it can silently alter model-selection outcomes even when data partitions, seeds, and metrics are held fixed. This study addresses t