Table 3 Performance of the prediction models generated by the three machine learning models
From: A dynamic online nomogram for predicting renal outcomes of idiopathic membranous nephropathy
Models | AUC | Sensitivity | Specificity | Precision | Accuracy | F1-score |
|---|---|---|---|---|---|---|
LR | 0.710 | 0.200 | 0.966 | 0.667 | 0.769 | 0.308 |
XGBoost | 0.734 | 0.400 | 0.897 | 0.571 | 0.769 | 0.471 |
RF | 0.869 | 0.700 | 0.897 | 0.700 | 0.846 | 0.700 |