Interpretable and leakage-aware prediction of shipment delays in global supply chains: a Random Forest–SHAP workflow with multi-model benchmarking on the DataCo dataset
This study develops a leakage-aware evaluation workflow for predicting shipment dispatch delays at the time of order, auditing when each predictor becomes available and quantifying how much apparent accuracy on the DataCo dataset derives from post-outcome information. On 172,765 completed DataCo shipments, a...