fig2
From: Fast parameter optimization for high-fidelity crystal plasticity simulation using active learning
Figure 2. Accuracy evaluation of the trained ML models. (A) Linear regression; (B) Ridge regression; (C) SVR; (D) RF; (E) GPR; (F) RMSE comparison among the models. ML: Machine learning; SVR: support vector regression; RF: random forest; GPR: Gaussian Process Regression; RMSE: root mean square error.
