Table 4.
Performance of the Bayesian classifiers for the WOMBAT-PK test set
Training set | Test set | |||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thresholds | Model | Fingerprints | TP | FN | FP | TN | SE | SP | PRE1 | PRE2 | GA | C | TP | FN | FP | TN | SE | SP | PRE1 | PRE2 | GA | C |
1µm | BC-19 | ECFC_8 | 106 | 28 | 54 | 532 | 0.791 | 0.908 | 0.663 | 0.950 | 0.886 | 0.654 | 13 | 6 | 7 | 40 | 0.684 | 0.851 | 0.650 | 0.870 | 0.803 | 0.527 |
5µm | BC-20 | FCFP_8 | 180 | 44 | 76 | 419 | 0.804 | 0.846 | 0.703 | 0.905 | 0.833 | 0.629 | 31 | 1 | 19 | 15 | 0.969 | 0.441 | 0.620 | 0.938 | 0.697 | 0.478 |
10µm | BC-21 | LCFC_6 | 240 | 39 | 101 | 339 | 0.860 | 0.770 | 0.704 | 0.897 | 0.805 | 0.615 | 42 | 3 | 10 | 11 | 0.933 | 0.524 | 0.808 | 0.786 | 0.803 | 0.521 |
20µm | BC-22 | LCFC_4 | 278 | 43 | 79 | 314 | 0.866 | 0.799 | 0.779 | 0.880 | 0.829 | 0.662 | 46 | 1 | 9 | 10 | 0.979 | 0.526 | 0.836 | 0.909 | 0.848 | 0.614 |
30µm | BC-23 | ECFC_4 | 279 | 65 | 48 | 321 | 0.811 | 0.870 | 0.853 | 0.832 | 0.842 | 0.683 | 52 | 1 | 6 | 7 | 0.981 | 0.538 | 0.897 | 0.875 | 0.894 | 0.633 |
40µm | BC-24 | ECFC_4 | 289 | 75 | 40 | 319 | 0.794 | 0.889 | 0.878 | 0.810 | 0.841 | 0.685 | 51 | 4 | 3 | 8 | 0.927 | 0.727 | 0.944 | 0.667 | 0.894 | 0.632 |