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From:  Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys
Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Figure 10. SHAP values of six features for 2 ML models. (A) EC model; (B) UTS model. SHAP: Shapley additive explanations; ML: machine learning; EC: electrical conductivity; UTS: ultimate tensile strength.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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