fig6

Figure 6. The influence of HT data proportion on the fatigue life prediction precision of the GBDT model, with error bars representing the standard deviation. (A) Comparison of R² values for GBDT models trained on mixed vs. HT only data; (B-D) Prediction performance on the remaining HT test set when 0%, 30%, and 60% of HT data are incorporated into the training set, respectively. Test set sample size (N): 0% HT = 50, 30% HT = 35, 60% HT = 20. Error bars represent the standard deviation of 50 independent replicates. HT: High-temperature; GBDT: gradient boosting decision tree; R²: the coefficient of determination; RT: room-temperature; logNf: target life; RMSE: root mean square error; MAE: mean absolute error; PCC: Pearson correlation coefficient.