Table 4.
Accuracy | Sensitivity | Specificity | LR(+) | LR(−) | |
---|---|---|---|---|---|
CART | 0.72 | 0.70 | 0.77 | 3 | 0.39 |
Post-pruning CART | 0.72 | 0.90 | 0.48 | 2 | 0.21 |
Random forest | 0.76 | 0.74 | 0.80 | 4 | 0.33 |
XGBoost | 0.70 | 0.71 | 0.69 | 2 | 0.42 |
Accuracy | Sensitivity | Specificity | LR(+) | LR(−) | |
---|---|---|---|---|---|
CART | 0.72 | 0.70 | 0.77 | 3 | 0.39 |
Post-pruning CART | 0.72 | 0.90 | 0.48 | 2 | 0.21 |
Random forest | 0.76 | 0.74 | 0.80 | 4 | 0.33 |
XGBoost | 0.70 | 0.71 | 0.69 | 2 | 0.42 |