Open access
2026
A Novel Stacking Ensemble Framework for Predicting Workability of Cement-Superplasticizer Systems With SHAP and LIME Interpretability
This study introduces XRES-GB, a novel stacking ensemble classifier that combines XGBoost, Random Forest, Extra Trees, and Support Vector Machine as base learners, with Gradient Boosting serving as the meta-model, and delivers high-fidelity predictions while maintaining interpretability.
Aybike Özyüksel Çiftçioğlu, Selin Özteber, Naz Mardani et al.
· IEEE Access · 0 citations