fig5

Figure 5. ML results of ε_r for quaternary materials. (A) RF ranking of the importance of material features for ε_r in the quaternary material dataset; (B) The variation of R² and RMSE (in the black bracket) as a function of SISSO iterations; (C) Scatter plot of the predicted dielectric constant versus experiment reports after four iterations. ML: Machine learning; RF: random forest; R²: coefficient of determination; RMSE: root-mean-square error; SISSO: sure independence screening and sparsifying operator.