Table 3.

The performance metrics of initial proposed model in case 1 using different number of filters

No. of filter	Accuracy %		Loss	F1-score %	Precision %	Recall %	Specificity %	Time (Sec.)	Number of model parameters
16 filters	Mean	90.96	0.28	90.02	90.18	89.97	95.27	49.43	933,587
	SD	± 1.55	± 0.04	± 1.73	± 1.65	± 1.87	± 0.86	± 6.51
10 filters	Mean	93.08	0.24	92.21	92.47	92.01	96.34	41.43	583,613
	SD	± 0.44	± 0.03	± 0.64	± 0.58	± 0.86	± 0.29	± 1.61
8 filters	Mean	91.25	0.29	90.13	90.72	89.85	95.34	37.56	466,987
	SD	± 1.81	± 0.07	± 2.09	± 2.13	± 2.16	± 0.89	± 3.68