Table 4 Random forest with two category subset
From: Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients
Two category subset | Sampling | mtry | ntree | AUC (SD) |
|---|---|---|---|---|
Comorbidities + demographics | Under | 3 | 750 | 0.7705 (0.0044) |
Comorbidities + cardiac events | Under | 3 | 750 | 0.7503 (0.0049) |
Comorbidities + complications | Under | 3 | 1250 | 0.7467 (0.0046) |
Comorbidities + procedures | Under | 3 | 2500 | 0.7804 (0.0039) |
Comorbidities + medications | Under | 3 | 2000 | 0.7502 (0.0045) |
Comorbidities + insurance | Under | 3 | 1750 | 0.7501 (0.0044) |
Comorbidities + utilization | Under | 3 | 1000 | 0.7512 (0.0049) |