Table 3 Comparison of the different machine learning models. The choice of machine learning model did not have a critical impact on the results.
From: Predicting anesthetic infusion events using machine learning
| Â | Accuracy | Sensitivity | Specificity | Precision | AUC |
|---|---|---|---|---|---|
Logistic regression | 0.699 | 0.691 | 0.699 | 0.022 | 0.752 |
SVM | 0.739 | 0.590 | 0.740 | 0.022 | 0.720 |
Random forest | 0.749 | 0.563 | 0.751 | 0.022 | 0.713 |
LightGBM | 0.705 | 0.659 | 0.706 | 0.021 | 0.738 |
ANN | 0.642 | 0.739 | 0.641 | 0.020 | 0.742 |
LSTM | 0.731 | 0.659 | 0.732 | 0.023 | 0.753 |
