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A quantitative comparison of the effectiveness of different machine learning algorithms based on clinical data.
| Methods | AUC (%) | Accuracy (%) | Recall (%) |
|---|---|---|---|
| Random forest | 50.6 | 54.8 | 63.6 |
| Logistic regression | 64.8 | 64.3 | 63.6 |
| XGBoost | 66.8 | 59.5 | 72.7 |
The bold values represent the best values.
