fig3
From: Machine learning for prediction of CO2/N2/H2O selective adsorption and separation in metal-zeolites
![Machine learning for prediction of CO<sub>2</sub>/N<sub>2</sub>/H<sub>2</sub>O selective adsorption and separation in metal-zeolites](https://image.oaes.cc/789e9a28-834e-4080-b361-63ddfa2fa80e/jmi3025.fig.3.jpg)
Figure 3. (A) Calculated Ef of metal atom embedded in the zeolite; (B) The optimized geometric configuration of (B) Zr-CHA-47; (C) Zr-FER-35; (D) ML model construction for Ef prediction by XGBoost algorithm via four features; (E) Feature importance analysis. DFT: Density functional theory; MAE: mean absolute error; ML: machine learning.