Table 5.

LeNet output using age and gender (Gen = Generalization approach).

Age and Gender	Approach	Training		Testing
		Accuracy	Loss	Accuracy	Sensitivity	Specificity	Precision	NPV	FPR	FDR	FNR	F1 Score	MCC	Loss
Male (20–70)	Five-fold	0.93	0.28	0.88	0.94	0.75	0.88	0.85	0.25	0.11	0.05	0.91	0.71	0.38
	Eight-fold	0.95	0.72	0.86	0.84	1	1	0.5	0	0	0.15	0.91	0.65	0.43
	Gen	0.93	0.12	0.94	0.85	1	1	0.91	0	0	0.14	0.92	0.88	0.10
Female (50–70)	Five-fold	0.92	0.41	0.78	0.90	0.33	0.83	0.50	0.66	0.16	0.09	0.86	0.28	0.43
	Eight-fold	1	0.12	0.87	1	0.50	0.85	1	0.50	0.14	0	0.92	0.65	0.48
	Gen	1	0.09	0.95	1	0.93	0.83	1	0.06	0.16	0	0.90	0.88	0.09
Female (20–70)	Five-fold	0.96	0.15	0.92	0.90	0.94	0.90	0.94	0.05	0.1	0.1	0.90	0.84	0.14
	Eight-fold	0.96	0.14	0.94	0.87	1	1	0.90	0	0	0.12	0.93	0.88	0.15
	Gen	0.92	0.19	0.97	0.95	1	1	0.95	0	0	0.04	0.97	0.95	0.15
Male (10–80)	Five-fold	0.89	0.37	0.90	0.88	0.91	0.94	0.84	0.08	0.05	0.11	0.91	0.79	0.43
	Eight-fold	0.88	0.27	0.88	0.94	0	0.94	0	1	0.05	0.05	0.94	−0.05	0.21
	Gen	0.88	0.20	0.93	0.90	0.95	0.95	0.92	0.04	0.05	0.09	0.92	0.86	0.17
Female (10–80)	Five-fold	0.94	0.21	0.94	1	0.86	0.91	1	0.13	0.08	0	0.95	0.89	0.20
	Eight-fold	1	0.09	0.91	0.92	0.88	0.92	0.88	0.11	0.07	0.07	0.92	0.81	0.18
	Gen	0.95	0.14	0.92	1	0.83	0.88	1	0.16	0.11	0	0.93	0.85	0.14
Male + Female (20–70)	Five-fold	0.70	0.57	0.70	0.78	0.53	0.78	0.53	0.46	0.21	0.21	0.78	0.32	0.52
	Eight-fold	0.76	0.51	0.72	0.68	0.77	0.84	0.58	0.22	0.15	0.31	0.75	0.44	0.55
	Gen	0.76	0.31	0.68	0.64	0.71	0.68	0.67	0.28	0.31	0.35	0.66	0.36	0.37
Male + Female (10–80)	Five-fold	0.93	0.32	0.88	0.92	0.81	0.88	0.88	0.18	0.11	0.07	0.90	0.75	0.26
	Eight-fold	0.96	0.16	0.92	0.90	0.94	0.95	0.90	0.05	0.04	0.09	0.93	0.85	0.23
	Gen	0.91	0.19	0.89	0.84	0.94	0.93	0.87	0.05	0.06	0.15	0.88	0.79	0.19