Table 4 Performance comparisons of our stacking model and the eight candidate models
Model | AUC | Accuracy | Sensitivity | Specificity |
|---|---|---|---|---|
DT | 0.681 ± 0.02 | 0.768 ± 0.03 | 0.487 ± 0.06 | 0.810 ± 0.04 |
SVM | 0.707 ± 0.03 | 0.765 ± 0.01 | 0.480 ± 0.03 | 0.808 ± 0.01 |
RF | 0.701 ± 0.02 | 0.768 ± 0.01 | 0.502 ± 0.05 | 0.807 ± 0.01 |
ET | 0.709 ± 0.02 | 0.760 ± 0.02 | 0.500 ± 0.03 | 0.798 ± 0.02 |
GBDT | 0.710 ± 0.02 | 0.764 ± 0.02 | 0.501 ± 0.04 | 0.803 ± 0.02 |
ADB | 0.702 ± 0.02 | 0.769 ± 0.03 | 0.502 ± 0.03 | 0.809 ± 0.03 |
Bagging | 0.704 ± 0.02 | 0.769 ± 0.01 | 0.512 ± 0.03 | 0.808 ± 0.01 |
XGB | 0.713 ± 0.02 | 0.768 ± 0.02 | 0.513 ± 0.03 | 0.806 ± 0.02 |
Stacking Model | 0.720 ± 0.02 | 0.772 ± 0.01 | 0.515 ± 0.04 | 0.810 ± 0.01 |