Fig. 12
From: Machine learning models based wear performance prediction of AZ31/TiC composites
Residual plots for (a) Linear Regression, (b) Decision Tree, (c) Random Forest, (d) Gradient Boosting and (e) XGBoost models.
Fig. 12 | Scientific Reports
From: Machine learning models based wear performance prediction of AZ31/TiC composites
Residual plots for (a) Linear Regression, (b) Decision Tree, (c) Random Forest, (d) Gradient Boosting and (e) XGBoost models.
