Table 2.

Model performance research based on different feature processing

Methods	ACC	F1	AUPR	REC	PRE	SPEC	AUC
Combination 1	0.992	0.335	0.463	0.358	0.352	0.995	0.906
Combination 2	0.995	0.510	0.468	0.412	0.675	0.998	0.923
Combination 3	0.996	0.601	0.459	0.485	0.794	0.999	0.937
Combination 4	0.996	0.597	0.477	0.483	0.788	0.999	0.939
GATMDA	0.996	0.606	0.477	0.498	0.781	0.999	0.956