Table 6.
Naïve Bayes performance
| Predictor | AUC | max. ACC | SN (max. ACC) | SP (max. ACC) | max. FM | PR (max. FM) | RC (max. FM) |
|---|---|---|---|---|---|---|---|
| all features | 0.91 | 0.883 | 0.763 | 0.915 | 0.736 | 0.68 | 0.804 |
| random features (r = 37) | 0.916 | 0.884 | 0.686 | 0.935 | 0.725 | 0.67 | 0.792 |
| random forest (r = 37, c = 60) | 0.924 | 0.888 | 0.709 | 0.936 | 0.737 | 0.693 | 0.791 |
| HC-BIC feature selection | 0.933 | 0.905 | 0.787 | 0.936 | 0.775 | 0.757 | 0.794 |
| HC-AIC feature selection | 0.938 | 0.905 | 0.78 | 0.938 | 0.777 | 0.759 | 0.796 |
| bagged HC-BIC (c = 15) | 0.945 | 0.908 | 0.751 | 0.949 | 0.782 | 0.761 | 0.805 |
| bagged HC-AIC (c = 15) | 0.946 | 0.909 | 0.757 | 0.949 | 0.78 | 0.767 | 0.796 |
See Table 3 for description of column headings. HC-BIC = hill-climbing on Bayes information criterion; HC-AIC = hill-climbing on Akaike information criterion.