Table 2A.
Test Sets | Statistics | Lasso LR | Elastic net LR | XGBoost |
---|---|---|---|---|
Training | Sensitivity (95% CI) | 0.12 (0.06,0.22) | 0.12 (0.06,0.22) | 0.99 (0.93,1.0) |
Specificity (95% CI) | 0.99 (0.98,1.0) | 0.99 (0.98,1.0) | 1.0 (0.99,1.0) | |
AUC (95% CI) | 0.76 (0.71,0.81) | 0.78 (0.73,0.83) | 1.0 (1.0,1.0) | |
Internal validation | Sensitivity (95% CI) | 0.05 (0.01,0.17) | 0.10 (0.03,0.23) | 0.37 (0.22,0.53) |
Specificity (95% CI) | 0.98 (0.95,0.99) | 0.98 (0.95,0.99) | 0.89 (0.84,0.93) | |
AUC (95% CI) | 0.68 (0.59,0.77) | 0.72 (0.64,0.81) | 0.67 (0.59,0.76) | |
External validation | Sensitivity (95% CI) | 0.11 (0.06,0.16) | 0.22 (0.16,0.28) | 0.50 (0.42,0.57) |
Specificity (95% CI) | 0.99 (0.97,1.0) | 0.97 (0.94,0.99) | 0.93 (0.89,0.97) | |
AUC (95% CI) | 0.83 (0.78,0.87) | 0.85 (0.81,0.89) | 0.77 (0.72,0.82) |