Table 10.
ML Algorithm | Training | Validation | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
SEN | SPC | AUC | ACC | F-Sc | SEN | SPC | AUC | ACC | F-Sc | |
XGB | 0.9361 | 0.9444 | 0.9403 | 0.9388 | 0.9535 | 0.9570 | 0.9362 | 0.9466 | 0.9500 | 0.9622 |
RF | 0.9763 | 0.8879 | 0.9321 | 0.9450 | 0.9581 | 0.9783 | 0.8750 | 0.9266 | 0.9429 | 0.9574 |
LSVM | 0.9526 | 0.9138 | 0.9332 | 0.9388 | 0.9526 | 0.9565 | 0.8958 | 0.9262 | 0.9357 | 0.9514 |
RBFN | 0.9293 | 0.7203 | 0.8248 | 0.8379 | 0.8658 | 0.9250 | 0.7000 | 0.8125 | 0.8286 | 0.8605 |
NB | 0.6777 | 0.9569 | 0.8173 | 0.7768 | 0.7967 | 0.7065 | 1.0000 | 0.8533 | 0.8071 | 0.8280 |