TABLE VIII. Comparison With the State-of-the-Art Methods Based on Datasets 1 and 2.

Refs	Dataset	Model	Metrics
[21]	Dataset 1	RF, LR, GLMNET, and ANN	AUC=95
[52]	Dataset 1	NN, RF, GBT, LR, and SVM	AUC=85
[17]	Dataset 1	MLP, SVM, RT, RF, BN, and NB	Acc=95.15% Sens=96.8%, Spec=93.6%
[12]	Dataset 1	XGBoost	AUC=99.38
Ours	Dataset 1	VAE-Softmax	AUC=99.85
Ours	Dataset 1	GAN-Softmax	AUC=99.53
Ours	Dataset 1	VAE-1SVM	AUC=99.6
[15]	Dataset 2	DT-XGBoost	AUC=85
Ours	Dataset 2	VAE-1SVM	AUC=99.3