Table 3.

Area under the receiver operating characteristic curve (AUC) for each set of models

Model Type	CAV (95% CI)	CAV+ (95% CI)	P for comparison
Logistic Regression	0.72 (0.61–0.82)	0.73 (0.62–0.83)	0.8
Lasso Regression	0.69 (0.58–0.80)	0.77 (0.68–0.85)	0.02
Support Vector Machines	0.50 (0.50–0.50)	0.52 (0.38–0.67)	0.8
Random Forest	0.70 (0.60–0.80)	0.78 (0.68–0.88)	0.2
Xgboost	0.72 (0.62–0.82)	0.79 (0.71–0.87)	0.04

CAV: cortical hematoma, age <65 years, volume >10mL; CAV+: CAV variables plus anti-platelet use, anti-coagulant use, Glasgow Coma Scale, international normalized ratio on admission, systolic blood pressure