Table 11.
Sensitivity, Specificity, Area under Curve, Accuracy and F-measure on BZR Dataset.
ML Algorithm | Training | Validation | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
SEN | SPC | AUC | ACC | F-Sc | SEN | SPC | AUC | ACC | F-Sc | |
XGB | 0.9764 | 0.9028 | 0.9396 | 0.9577 | 0.9718 | 0.9884 | 0.8000 | 0.8942 | 0.9339 | 0.9551 |
RF | 0.9720 | 0.9143 | 0.9431 | 0.9577 | 0.9720 | 0.9674 | 0.8966 | 0.9320 | 0.9504 | 0.9674 |
LSVM | 0.9579 | 0.8714 | 0.9147 | 0.9366 | 0.9579 | 0.9348 | 1.0000 | 0.9674 | 0.9504 | 0.9663 |
RBFN | 0.9947 | 0.7263 | 0.8605 | 0.9049 | 0.9330 | 1.0000 | 0.6444 | 0.8222 | 0.8678 | 0.9048 |
NB | 0.9112 | 0.8571 | 0.8842 | 0.8979 | 0.9308 | 0.8478 | 0.9655 | 0.9067 | 0.8760 | 0.9123 |