fig2

RF-NSGA-II framework for inverse design of high-performance Mg-Gd-based magnesium alloys

Figure 2. Predictive accuracy of TYS, UTS, and EL from (A-C) RF, (D-F) XGBoost, (G-I) SVR and (J-L) multilayer neural networks. TYS: Tensile yield strength; UTS: ultimate tensile strength; EL: elongation; RF: random forest; XGBoost: eXtreme gradient boosting tree; SVR: support vector regression.

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