Table 19.

Performance of networks feed with different features on dataset1.

Model name	Specificity	Sensitivity	F1	Precision	Accuracy
ANNraw	0.9385	0.7949	0.8378	0.8857	0.8846
SVM	0.9821	0.5897	0.7282	0.9517	0.8349
Decision Tree	0.9769	0.5470	0.6900	0.9343	0.8157
GNet (N = 32, k = 16)	0.9949	0.9231	0.9558	0.9908	0.9679
GNet (N = 64, k = 48)	0.9872	0.9744	0.9764	0.9785	0.9824
GNet (N = 96, k = 84)	0.9487	1.0000	0.9590	0.9213	0.9679
GNet (N = 128, k = 96)	0.9846	0.9915	0.9831	0.9748	0.9872
GNet (N = 156, k = 96)	0.9462	0.9915	0.9631	0.9170	0.9631