fig7

Figure 7. Comparison of evaluation metrics between the RF and K-NN models. (A) MAE & RMSE; (B) R²; (C) R² from 10-fold cross-validation. RF: Random forest; K-NN: k-nearest neighbor; MAE: mean absolute error; RMSE: root mean square error; R²: coefficient of determination; CV: cross-validation; F_s: ferrite transformation start temperature; P_s: pearlite transformation start temperature; B_s: bainite transformation start temperature; M_s: martensite transformation start temperature; F_f: ferrite transformation finish temperature; P_f: pearlite transformation finish temperature; B_f: bainite transformation finish temperature; M_f: martensite transformation finish temperature.