Table 5 Performance of different classifiers
From: Selection strategy for sedation depth in critically ill patients on mechanical ventilation
Classifier | Accuracy | Precision | Recall | F1-score | AUC |
|---|---|---|---|---|---|
Logistic regression | 0.7997 | 0.7625 | 0.6550 | 0.6771 | 0.7725 |
XGBoost | 0.7870 | 0.7245 | 0.6574 | 0.6753 | 0.7464 |
Random forest | 0.7921 | 0.7947 | 0.6130 | 0.6265 | 0.7684 |
Decision tree | 0.7012 | 0.6168 | 0.6247 | 0.6200 | 0.6247 |