Table 2 Performance of machine learning models in identifying patients with preeclampsia (Independent dataset)
Base classifier | Feature selection | Feature number | Accuracy (%) | Precision (%) | Recall (%) | F1-measure (%) |
|---|---|---|---|---|---|---|
MLP | LASSO | 497 | 94.30 | 94.95 | 94.35 | 94.65 |
SVM | LASSO | 497 | 94.28 | 95.33 | 93.36 | 94.58 |
RFC | LASSO | 497 | 92.76 | 93.62 | 92.76 | 93.18 |
XGBoost | LASSO | 497 | 91.23 | 92.71 | 90.71 | 91.70 |
Ensemble model | LASSO | 497 | 94.62 | 95.83 | 94.56 | 94.95 |