Table 5.
Models 1–3 sensitivity, specificity, AUC for complete case sample, averages for 100, 1000, 5000 iterations of k-fold (k=3, 5) Cross-Validation
Model | k | Iterations | Sensitivity | Specificity | AUC |
---|---|---|---|---|---|
Model 1 | Estimates w/o Cross-Validation | 1.000 | 0.663 | 0.891 | |
| |||||
3 | 100 | 0.413 | 0.788 | 0.667 | |
1000 | 0.439 | 0.784 | 0.676 | ||
5000 | 0.437 | 0.784 | 0.676 | ||
| |||||
5 | 100 | 0.512 | 0.761 | 0.694 | |
1000 | 0.511 | 0.761 | 0.699 | ||
5000 | 0.515 | 0.761 | 0.698 | ||
| |||||
Model 2 | Estimates w/o Cross-Validation | 0.700 | 0.942 | 0.889 | |
| |||||
3 | 100 | 0.492 | 0.782 | 0.718 | |
1000 | 0.514 | 0.776 | 0.722 | ||
5000 | 0.516 | 0.775 | 0.722 | ||
| |||||
5 | 100 | 0.553 | 0.760 | 0.737 | |
1000 | 0.559 | 0.759 | 0.737 | ||
5000 | 0.561 | 0.760 | 0.739 | ||
| |||||
Model 3 | Estimates w/o Cross-Validation | 0.800 | 0.750 | 0.788 | |
| |||||
3 | 100 | 0.638 | 0.750 | 0.758 | |
1000 | 0.640 | 0.748 | 0.758 | ||
5000 | 0.640 | 0.748 | 0.758 | ||
| |||||
5 | 100 | 0.641 | 0.745 | 0.759 | |
1000 | 0.640 | 0.745 | 0.759 | ||
5000 | 0.644 | 0.744 | 0.759 |