Evaluation of Local Interpretable Model-Agnostic Explanation and Shapley Additive Explanation for Chronic Heart Disease Detection
This study aims to investigate the effectiveness of local interpretable model-agnostic explanation (LIME) and Shapley additive explanation (SHAP) approaches for chronic heart disease detection. The efficiency of LIME and SHAP are evaluated by analyzing the diagnostic results of the XGBoost model an...
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| Format: | Article |
| Language: | English |
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Taiwan Association of Engineering and Technology Innovation
2023-01-01
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| Series: | Proceedings of Engineering and Technology Innovation |
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| Online Access: | https://ojs.imeti.org/index.php/PETI/article/view/10101 |