fig4

Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L1<sub>2</sub>-strengthened cobalt-based superalloys

Figure 4. Model performance of each regression model in terms of R, R2, MAE and RMSE on the training set by 10-fold cross-validation (route II): (A) R and R2 and (B) MAE and RMSE of bulk modulus (B); (C) R and R2 and (D) MAE and RMSE of shear modulus (G); (E) R and R2 and (F) MAE and RMSE of elastic modulus (E). Prediction results of mechanical properties of L12 phase in Co-based superalloys based on AdaBoost regression model (route II). The x-axis represents the true value and the y-axis represents the predicted value. When the true value is equal to the predicted value, the data will be distributed on a dashed line that passes through the origin and the slope of the dashed line is 1: (G) B; (H) G; (I) E.

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