Table 12.

Performance of GNet on the test set of dataset1 when N = 156 and k = 16, 32, 48, 64, 80, 96, 112, 128, 144.

k	Specificity	Sensitivity	F1	Precision	AUC	Accuracy
16	0.9974	0.6325	0.7728	0.9933	0.9795	0.8606
32	0.9949	0.7179	0.8317	0.9882	0.9892	0.8910
48	0.9974	0.5256	0.6872	0.9919	0.9910	0.8205
64	0.9923	0.8034	0.8847	0.9843	0.9915	0.9215
80	0.9692	0.9402	0.9442	0.9483	0.9924	0.9583
96	0.9462	0.9915	0.9631	0.9170	0.9939	0.9631
112	0.9282	1.0000	0.9435	0.8931	0.9969	0.9551
128	0.8974	1.0000	0.9213	0.8540	0.9971	0.9359
144	0.9256	1.0000	0.9416	0.8897	0.9969	0.9535