Evolutionary Dendritic Neural Model for Classification Problems

Table 8

Results of accuracy, value, and AUC for EDNM, CDNM, and MLP.

Dataset	Model	Accuracy (%)	value (Acc)	AUC	value (AUC)
GID	EDNM	93.27 ± 2.85	—	0.9868	—
	CDNM	86.95 ± 7.28	8.07E − 04	0.7782	2.42E − 02
	MLP	84.21 ± 6.58	9.60E − 06	0.7444	5.37E − 06
CVRD	EDNM	96.41 ± 1.53	—	0.9725	—
	CDNM	67.16 ± 20.46	7.38E − 06	0.6147	5.91E − 06
	MLP	84.63 ± 8.89	8.94E − 07	0.8927	1.85E − 06