Fig. 2From: Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central TaiwanThe performance of distinct machine learning models to predict extubation. Receiver operating characteristic curves (A), Calibration curves (B), Decision curve analyses (C). Area under curve (XGBoost 0.921, LightGBM 0.921, CatBoost 0.920, Random Forest 0.918, Logistic Regression 0.868)Back to article page