New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete
Abstract
:1. Introduction
2. SHapley Additive ExPlanations (SHAP)
3. Dataset
4. Results and Analysis
4.1. Decision Tree Adaptive Boosting
4.2. Decision Tree Bagging
4.3. Gradient Boosting
4.4. Extreme Gradient Boosting
4.5. Comparison of All Models
4.6. Enhanced Explainability for Machine Leaning Algorithms
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Statistical Checks | Approaches | |||
---|---|---|---|---|
Extreme Gradient Boosting | Decision Tree AdaBoost | Decision Tree Bagging | Gradient Boosting | |
R2 | 0.87 | 0.90 | 0.91 | 0.92 |
RMSE (MPa) | 1.65 | 1.46 | 1.43 | 1.34 |
MAE (MPa) | 1.26 | 1.21 | 1.18 | 1.07 |
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Anjum, M.; Khan, K.; Ahmad, W.; Ahmad, A.; Amin, M.N.; Nafees, A. New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete. Materials 2022, 15, 6261. https://doi.org/10.3390/ma15186261
Anjum M, Khan K, Ahmad W, Ahmad A, Amin MN, Nafees A. New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete. Materials. 2022; 15(18):6261. https://doi.org/10.3390/ma15186261
Chicago/Turabian StyleAnjum, Madiha, Kaffayatullah Khan, Waqas Ahmad, Ayaz Ahmad, Muhammad Nasir Amin, and Afnan Nafees. 2022. "New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete" Materials 15, no. 18: 6261. https://doi.org/10.3390/ma15186261