Concrete strength prediction using domain-driven feature engineering and explainable LightGBM
This study integrates domain-informed feature engineering with optimized tree-based ensemble models to benchmark concrete strength prediction on a widely recognized Yeh dataset, with SHAP analysis revealed that the newly engineered features were the most influential predictors.