Table 6.

Testing stage on the independent dataset using GAN.

Algorithm	ACC	Recall	Precision	F1	Kappa	MCC
LIGHTGBM	0.9942	0.9885	1.0	0.9942	0.9884	0.9885
MLP	0.999	0.999	1.0	0.999	0.999	0.999
RF	0.9942	0.9885	1.0	0.9942	0.9884	0.9885
XGBOOST	0.9942	0.9885	1.0	0.9942	0.9884	0.9885
KNN	0.999	0.999	1.0	0.999	0.999	0.999
LR	0.999	0.999	1.0	0.999	0.999	0.999
NB	0.9884	0.9770	1.0	0.9884	0.9769	0.9771
RBF-SVM	0.9711	0.9425	1.0	0.9704	0.9422	0.9438