Table 7.
Logistic regression performance
| Predictor | AUC | max. ACC | SN (max. ACC) | SP (max. ACC) | max. FM | PR (max. FM) | RC (max. FM) |
|---|---|---|---|---|---|---|---|
| random features (r = 50) | 0.939 | 0.902 | 0.732 | 0.947 | 0.768 | 0.74 | 0.8 |
| random forest (r = 50, c = 8) | 0.946 | 0.909 | 0.734 | 0.955 | 0.779 | 0.765 | 0.796 |
| HC-BIC feature selection | 0.948 | 0.91 | 0.738 | 0.956 | 0.785 | 0.765 | 0.808 |
| HC-AIC feature selection | 0.949 | 0.911 | 0.753 | 0.953 | 0.787 | 0.771 | 0.804 |
| bagged HC-BIC (c = 8) | 0.951 | 0.912 | 0.744 | 0.956 | 0.786 | 0.763 | 0.812 |
See Table 3 for description of column headings. HC-BIC = hill-climbing on Bayes information criterion; HC-AIC = hill-climbing on Akaike information criterion.