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Shapley Additive Explanations for Knowledge Discovery via Surrogate Models

Palar, Pramudita Satria and Zuhal, Lavi Rizki and Dwianto, Yohanes Bimo and Shimoyama, Koji and Morlier, Joseph Shapley Additive Explanations for Knowledge Discovery via Surrogate Models. (2023) In: AIAA SciTech Forumv, 23 January 2023 - 27 January 2023 (National Harbor, United States).

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Official URL: https://doi.org/10.2514/6.2023-0332


It is sometimes desirable to delve further into how the inputs affect the output in design optimization and uncertainty analysis. Surrogate models such as Gaussian Process Regression and support vector regression are useful for such tasks and can be further enhanced by introducing advanced post-processing methods. This paper investigates Shapley Additive Explanation (SHAP) as a tool to aid surrogate-assisted data-driven analysis. In particular, surrogate-enabled SHAP analysis allows visualization of the input-output relationship in a meaningful way using summary SHAP plots and SHAP dependence plots. Some important information that can be extracted and visualized from SHAP includes the importance of input variables (i.e., global sensitivity analysis), nonlinearity level, and level of interactions. The benefits of Shapley values for engineering analysis using surrogate models are demonstrated in three engineering test problems.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-04034297
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Ecole nationale supérieure des Mines d'Albi-Carmaux - IMT Mines Albi (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Institut Teknologi Bandung - ITB (INDONESIA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > Tohoku University (JAPAN)
Laboratory name:
Deposited On:14 Mar 2023 10:23

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