From: Supervised learning for infection risk inference using pathology data
 |  | AUCROC | AUCPRB | SENS | SPEC |
---|---|---|---|---|---|
GNB | F6 | 0.814 | 0.872 | 0.725 | 0.903 |
 | F5 | 0.802 | 0.874 | 0.664 | 0.939 |
 | F4 | 0.803 | 0.874 | 0.669 | 0.938 |
 | F3 | 0.750 | 0.832 | 0.589 | 0.912 |
 | F2 | 0.686 | 0.816 | 0.400 | 0.971 |
 | F1 | 0.569 | 0.767 | 0.145 | 0.994 |
DTC | F6 | 0.799 | 0.881 | 0.636 | 0.963 |
 | F5 | 0.777 | 0.859 | 0.614 | 0.940 |
 | F4 | 0.769 | 0.839 | 0.652 | 0.886 |
 | F3 | 0.702 | 0.777 | 0.672 | 0.732 |
 | F2 | 0.617 | 0.722 | 0.583 | 0.652 |
 | F1 | 0.535 | 0.684 | 0.480 | 0.590 |
RFC | F6 | 0.818 | 0.876 | 0.725 | 0.909 |
 | F5 | 0.806 | 0.874 | 0.682 | 0.930 |
 | F4 | 0.805 | 0.867 | 0.707 | 0.903 |
 | F3 | 0.764 | 0.826 | 0.707 | 0.822 |
 | F2 | 0.704 | 0.796 | 0.504 | 0.904 |
 | F1 | 0.599 | 0.775 | 0.212 | 0.987 |
SVM | F6 | 0.830 | 0.884 | 0.747 | 0.912 |
 | F5 | 0.816 | 0.885 | 0.687 | 0.944 |
 | F4 | 0.809 | 0.874 | 0.694 | 0.924 |
 | F3 | 0.768 | 0.837 | 0.654 | 0.881 |
 | F2 | 0.699 | 0.809 | 0.453 | 0.949 |
 | F1 | 0.591 | 0.785 | 0.186 | 0.996 |