Table 6 Classwise comparative-analysis between proposed deep NNW and existing approaches³⁴ for CCCS-CIC-AndMal-2020 dataset.

Malware category	Precision		Recall		F1-Score		Accuracy
Malware category	Proposed	Existing	Proposed	Existing	Proposed	Existing	Proposed	Existing
Adware	0.892	0.935	0.889	0.929	0.891	0.932	85.10	92.82
Backdoor	0.912	0.721	0.948	0.643	0.930	0.680	94.80	59.93
Banker	0.818	0.759	0.917	0.759	0.865	0.759	91.80	92.40
Dropper	0.850	0.850	0.826	0.686	0.838	0.759	82.60	63.96
FileInfector	0.778	0.909	0.880	0.789	0.826	0.845	88.00	70.31
PUA	0.968	0.677	0.972	0.682	0.970	0.679	97.20	69.29
Ransomware	0.920	0.798	0.931	0.944	0.926	0.864	93.10	91.98
Riskware	0.949	0.963	0.939	0.967	0.944	0.965	92.80	96.55
SMS	0.953	0.917	0.973	0.886	0.963	0.901	97.30	93.99
Scareware	0.326	0.836	0.909	0.764	0.480	0.799	91.70	74.32
Spyware	0.000	0.924	0.000	0.835	0.000	0.877	92.00	91.94
Trojan	0.962	0.895	0.894	0.896	0.927	0.896	87.40	89.09
Overall Results	0.799	0.841	0.865	0.813	0.850	0.825	91.40	82.99

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