fig3

Figure 3. The mean RMSE and R² values of (A) Model-III and (B) Model-IV constructed by DTR, RFR, SVR, GBR, KNR, and ANNR algorithms; the comparison of the predicted values by (C) Model-III and (D) Model-IV models and calculated values by CALPHAD. RMSE: Root mean square error; DTR: decision tree regression; RFR: random forest regression; SVR: support vector regression; GBR: gradient boosting regression; KNR: k-nearest neighbor regression; ANNR: artificial neural network regression; CALPHAD: calculation of phase diagrams.