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fig8

From:  Integrating physical metallurgy principles and machine learning for predicting continuous cooling phase transformations in steel
Integrating physical metallurgy principles and machine learning for predicting continuous cooling phase transformations in steel

Figure 8. Analysis of the influence of input features on phase transformation temperatures and feature importance based on SHAP. (A) Fs; (B) Ps; (C) Bs; (D) Ms; (E) Ff; (F) Pf; (G) Bf; (H) Mf. SHAP: SHapley Additive exPlanations. ΔGD: dislocation energy; Dγ: austenite grain size; TA: austenitizing temperature.

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