Table 2. The performance of the classification tasks by SNV-SVM, Random Forest, Naive Bayes and Blastn.

		Accuracy	Precision	Recall	F-measure	AUC	Time (s)
Genus classification	SNV-SVM	0.990	0.987	0.992	0.990	0.998	0.553
	Random Forest	0.980	0.974	0.988	0.981	0.997	3.158
	Naive Bayes	0.867	0.871	0.896	0.884	0.923	1.717
	Blastn	0.990	0.990	0.990	0.990	0.995	5.718
Genome component classification	SNV-SVM	0.995	0.995	0.995	0.995	0.998	1.148
	Random Forest	0.995	0.996	0.996	0.996	0.996	2.765
	Naive Bayes	0.982	0.976	0.988	0.981	0.995	2.050
	Blastn	1.000	1.000	1.000	1.000	1.000	3.745
Mono-or bipartite DNA-A classification	SNV-SVM	0.987	0.985	0.991	0.988	0.998	0.293
	Random Forest	0.952	0.947	0.953	0.952	0.980	1.862
	Naive Bayes	0.977	0.967	0.987	0.977	0.973	0.219
	Blastn	0.818	0.750	0.844	0.794	0.834	1.050