Evaluation of the Shapley Additive Explanation Technique for Ensemble Learning Methods
This study aims to explore the effectiveness of the Shapley additive explanation (SHAP) technique in developing a transparent, interpretable, and explainable ensemble method for heart disease diagnosis using random forest algorithms. Firstly, the features with high impact on the heart disease predi...
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| Format: | Article |
| Language: | English |
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Taiwan Association of Engineering and Technology Innovation
2022-04-01
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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/9025 |