Figure1

Figure 1. Extrapolation performance of the six surrogate models on both training and testing data, the data division with RT $$ > $$ 100 h (35 testing points and 53 training points) is used as an example. (A) RF; (B) XGBoost; (C) SVR; (D) Autogluon; (E) CNN; and (F) MLR. RT: Creep rupture life; RF: random forest; XGBoost: eXtreme Gradient Boosting; SVR: support vector regression; CNN: convolution neural networks; MLR: multiple linear regression.