Performance of the regression models for postoperative vault prediction
| Model | R2-Score (95% CI) | RMSE (95% CI) |
| Lasso | 0.237 (0.216 to 0.257) | 167.924 (165.551 to 170.297) |
| Ridge | 0.237 (0.216 to 0.258) | 167.869 (165.566 to 170.173) |
| Decision Tree | 0.170 (0.145 to 0.195) | 175.098 (172.201 to 177.996) |
| Random Forest | 0.315 (0.295 to 0.336) | 159.026 (155.988 to 162.065) |
| Adaboost | 0.157 (0.136 to 0.178) | 176.519 (172.779 to 180.259) |
| Gradient Boosting | 0.291 (0.267 to 0.315) | 161.862 (158.963 to 164.761) |
| XGBoost | 0.285 (0.260 to 0.310) | 162.527 (159.163 to 165.890) |
| SVR | 0.154 (0.142 to 0.165) | 176.900 (173.008 to 180.791) |
RMSE, root mean square error; SVR, Support Vector Regression.