Table 11.

Performance of GNet on the test set of dataset1 when N = 128 and k = 16, 32, 48, 64, 80, 96, 112.

k	Specificity	Sensitivity	F1	Precision	AUC	Accuracy
16	1.0000	0.5385	0.7000	1.0000	0.9911	0.8269
32	1.0000	0.4573	0.6276	1.0000	0.9898	0.7965
48	0.9949	0.8376	0.9074	0.9899	0.9976	0.9359
64	0.9897	0.9487	0.9652	0.9823	0.9987	0.9744
80	0.9846	0.9872	0.9809	0.9747	0.9987	0.9856
96	0.9795	1.0000	0.9872	0.9669	0.9989	0.9872
112	0.9436	1.0000	0.9551	0.9141	0.9989	0.9647