fig2

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

Figure 2. Permutation importance plots for the top 15 features for XGB models developed using all 132 features with four random states (RS = 42, 0, 14, 28) to predict the elastic modulus for M2AX materials. These importances were used to explore stepwise addition of features for each model. XGB: XGBoost; RS: random states.

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