Table 12.
ML Algorithm | Training | Validation | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
SEN | SPC | AUC | ACC | F-Sc | SEN | SPC | AUC | ACC | F-Sc | |
XGB | 0.7671 | 0.8522 | 0.8097 | 0.8297 | 0.7044 | 0.8837 | 0.7703 | 0.8270 | 0.8120 | 0.7755 |
RF | 0.6860 | 0.8895 | 0.7878 | 0.8261 | 0.7108 | 0.6364 | 0.8226 | 0.7295 | 0.7350 | 0.6931 |
LSVM | 0.6628 | 0.9316 | 0.7972 | 0.8478 | 0.7308 | 0.6727 | 0.9194 | 0.7960 | 0.8034 | 0.7629 |
RBFN | 0.7089 | 0.8477 | 0.7783 | 0.8080 | 0.6788 | 0.8478 | 0.7746 | 0.8112 | 0.8034 | 0.7723 |
NB | 0.9767 | 0.6368 | 0.8068 | 0.7428 | 0.7029 | 0.9818 | 0.5645 | 0.7732 | 0.7607 | 0.7941 |