Table 7.
ML Algorithm | Training | Validation | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
SEN | SPC | AUC | ACC | F-Sc | SEN | SPC | AUC | ACC | F-Sc | |
XGB | 0.9779 | 0.9981 | 0.9880 | 0.9834 | 0.9689 | 0.9820 | 0.9983 | 0.9902 | 0.9849 | 0.9673 |
RF | 0.9562 | 0.9979 | 0.9771 | 0.9837 | 0.9689 | 0.9468 | 0.9977 | 0.9723 | 0.9823 | 0.9597 |
LSVM | 0.9590 | 0.9978 | 0.9784 | 0.9817 | 0.9667 | 0.9436 | 0.9974 | 0.9705 | 0.9790 | 0.9547 |
RBFN | 0.9507 | 0.9961 | 0.9734 | 9.9646 | 0.9402 | 0.9420 | 0.9960 | 0.9690 | 0.9658 | 0.9312 |
NB | 0.9546 | 0.9963 | 0.9755 | 0.9677 | 0.9458 | 0.9401 | 0.9967 | 0.9684 | 0.9724 | 0.9403 |