Table 3 Ranking of the prediction performance of all models based on both internal and external validation for SIRS using a scoring system
Decision Tree Classifier | Random Forest Classifier | Support Vector Classification | Logistic Regression | Gradient Boosting Classifier | Black Box Classification | |
|---|---|---|---|---|---|---|
0 Precision | 3.00 | 4.00 | 1.00 | 4.66 | 2.00 | 3.66 |
0 Recall | 3.67 | 2.67 | 5.34 | 1.00 | 5.00 | 2.33 |
0 F1-Score | 4.34 | 4.34 | 2.67 | 1.00 | 4.00 | 2.99 |
1 Precision | 3.67 | 2.67 | 5.67 | 1.00 | 5.33 | 2.66 |
1 Recall | 3.00 | 4.67 | 1.00 | 5.67 | 2.00 | 4.00 |
1 F1-Score | 3.00 | 4.67 | 1.00 | 4.33 | 2.00 | 3.99 |
Accuracy | 3.34 | 4.34 | 1.00 | 2.00 | 2.67 | 3.33 |
FPR | 3.67 | 2.67 | 5.34 | 1.00 | 5.00 | 2.33 |
TPR | 3.00 | 4.67 | 1.00 | 5.67 | 2.00 | 4.00 |
AUROC | 2.34 | 3.67 | 2.00 | 1.33 | 3.68 | 1.67 |
AUPRC | 3.01 | 4.34 | 1.33 | 2.00 | 4.01 | 2.34 |
Total points | 36.04 | 42.71 | 27.35 | 29.66 | 37.69 | 33.3 |