Figure2

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

Figure 2. SHAP analysis of features. A-D: SHAP values of testing conditions, i.e., temperature, time, DOC and pressure. E-I: SHAP values of alloy compositions, i.e., V, Si, Cr, Ni and Mn. J: Feature importance ranking by $$ \mathfrak{R}_{\phi_{j}} $$ . K: Fitting effect of Xgboost model with selected eight features for 10-CV.

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