fig3

Borides as promising M<sub>2</sub>AX phase materials with high elastic modulus using machine learning and optimization

Figure 3. Effect of stepwise feature addition on XGB model performance in terms of validation RMSE and R2. Four random states (RS = 42, 0, 14, and 28) are shown. Note that the final four models [Table 1] were re-developed using a list of eight features selected based on their common appearance across the four models shown here. XGB: XGBoost; RMSE: root mean square error; RS: random states.

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