Table 3

Performance of the classification models for postoperative vault prediction

ModelAccuracy (95% CI)Mean AUC (95% CI)
Decision Tree0.261 (0.232 to 0.290)0.637 (0.630 to 0.643)
Random Forest0.828 (0.819 to 0.836)0.765 (0.744 to 0.785)
Adaboost0.492 (0.486 to 0.499)0.645 (0.629 to 0.661)
Gradient Boosting0.815 (0.809 to 0.821)0.718 (0.690 to 0.746)
XGBoost0.802 (0.791 to 0.813)0.733 (0.707 to 0.759)
SVC0.497 (0.494 to 0.499)0.705 (0.690 to 0.721)
  • AUC, area under the curve; SVC, Support Vector Classification.