fig9
Figure 9. Four-parameter hyperparameter optimization was performed on the random forest model fitted to the strength dataset. (A) Maximum depth; (B) Minimum sample segmentation; (C) Minimum sample leaf; (D) n_estimators; (E) Strength prediction graph of the best RF model under the optimal combination of hyperparameters. RF: Random forest; R2: the coefficient of determination; RMSE: root mean square error.
