Table 4.
Feature | Rank in XGBoost (Rank in Logistic Regression) |
Change to Risk Prediction |
---|---|---|
Binary features | ||
Complication of implants | 1 (1) | 0.0297 |
Chronic kidney disease, severe | 2 (23) | 0.0117 |
Teaching Hospital | 3 (63) | 0.0111 |
Coronary atherosclerosis | 4 (2) | 0.0076 |
Male sex | 5 (64) | 0.0070 |
Dimentia without complications | 6 (21) | 0.0060 |
Other circulatory diseases | 7 (14) | 0.0059 |
Osteoarthritis of hip or knee | 8 (31) | −0.0058 |
Osteoporosis | 9 (3) | 0.0051 |
Morbid Obesity | 10 (18) | −0.0029 |
Continuous features | ||
Number of medical comorbidities | 1 (1) | 0.0650 |
Age | 2 (3) | 0.0278 |
Hospital volume | 3 (2) | −0.0101 |
Insurance status | ||
Medicare | Reference | 0 |
Private | 1 (1) | −0098 |
Medical | 2 (2) | 0.0051 |
Workers Comp | 3 (3) | −0.0008 |
Other | 3 (4) | −0.0008 |
Race | ||
White | Reference | 0 |
Asian/Pacific Islander | 1 (2) | −0.0312 |
Black | 2 (1) | 0.0124 |
Other | 3 (4) | 0.0002 |
Native American | 4 (3) | 5.02E-05 |
Unknown | 4 (5) | 5.02E-05 |