BMC Bioinformatics

Table 3 Performance report of RF and DL models among validation dataset for prediction of a) clades b) continents

From: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques

	RF			DL
	Sensitivity	Specificity	Balanced Accuracy	Sensitivity	Specificity	Balanced Accuracy
(a) Model/clades
Clade_G	0.614	0.98	0.797	0.713	0.979	0.846
Clade_GH	0.802	0.965	0.884	0.809	0.986	0.897
Clade_GK	0.966	0.971	0.968	0.991	0.989	0.99
Clade_GR	0.716	0.983	0.849	0.727	0.979	0.853
Clade_GRA	0.901	0.984	0.943	0.936	0.992	0.964
Clade_GRY	0.973	0.979	0.976	0.979	0.977	0.978
Clade_GV	0.803	0.99	0.897	0.909	0.985	0.947
(b) Model/continents
Africa	0.006	0.999	0.503	0.025	0.996	0.51
Asia	0.052	0.994	0.523	0.12	0.952	0.536
Europe	0.774	0.581	0.678	0.771	0.605	0.688
North America	0.672	0.698	0.685	0.655	0.771	0.713
Oceania	0.042	0.998	0.52	0.058	0.998	0.528
South America	0.316	0.997	0.656	0.424	0.981	0.703

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ISSN: 1471-2105

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