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Aybike Özyüksel Çiftçioğlu

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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. · 0 citations

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