Table 3.

Summary table for the hyper-tuning of back propagation neural network (BPNN) parameters.

Model	Image size	Number of neurons	Iterations	Accuracy	Precision	Recall	F1 score	Time elapsed (seconds)
BPNN	32	(256, 128)	1,000	97.17	97.22	97.17	97.16	3.60
BPNN	64	(128,)	400	96.61	96.67	96.61	96.59	3.00
BPNN	128	(128, 64)	200	97.17	97.27	97.17	97.20	2.60
BPNN	256	(128, 64)	200	97.74	97.82	97.74	97.72	2.14
BPNN	512	(256, 128)	300	98.30	98.31	98.30	98.30	1.53