Table 6.

The AUC scores of the RF method for the prediction of hosts of viral contigs with different lengths using the models built from contigs of different lengths

					Testing: 1 kb
	Baci.	Esch.	Lact.	Myco.	Pseu.	Salm.	Stap.	Syne.	Virb.
Training: 1 kb	0.773	0.805	0.840	0.962	0.924	0.812	0.936	0.928	0.842
Training: 3 kb	0.819	0.857	0.833	0.977	0.959	0.818	0.955	0.960	0.858
Training: 5 kb	0.831	0.848	0.848	0.977	0.952	0.826	0.957	0.957	0.845
Training: wgs	0.821	0.718	0.818	0.886	0.833	0.792	0.948	0.890	0.774
					Testing: 3 kb
	Baci.	Esch.	Lact.	Myco.	Pseu.	Salm.	Stap.	Syne.	Virb.
Training: 1 kb	0.766	0.862	0.842	0.979	0.947	0.843	0.961	0.961	0.880
Training: 3 kb	0.823	0.878	0.868	0.980	0.975	0.866	0.966	0.967	0.898
Training: 5 kb	0.850	0.899	0.889	0.985	0.978	0.880	0.976	0.983	0.917
Training: wgs	0.854	0.827	0.885	0.967	0.952	0.872	0.976	0.951	0.876
					Testing: 5 kb
	Baci.	Esch.	Lact.	Myco.	Pseu.	Salm.	Stap.	Syne.	Virb.
Training: 1 kb	0.768	0.870	0.822	0.982	0.955	0.838	0.964	0.972	0.867
Training: 3 kb	0.827	0.900	0.869	0.985	0.977	0.871	0.974	0.986	0.904
Training: 5 kb	0.852	0.890	0.883	0.986	0.978	0.883	0.972	0.972	0.907
Training: wgs	0.858	0.865	0.888	0.983	0.970	0.882	0.979	0.965	0.900
					Testing: wgs
	Baci.	Esch.	Lact.	Myco.	Pseu.	Salm.	Stap.	Syne.	Virb.
Training: 1 kb	0.778	0.860	0.814	0.984	0.960	0.812	0.971	0.981	0.896
Training: 3 kb	0.854	0.901	0.817	0.994	0.988	0.884	0.989	0.994	0.930
Training: 5 kb	0.870	0.923	0.861	0.994	0.992	0.889	0.992	0.996	0.934
Training: wgs	0.862	0.859	1.0	0.985	0.979	0.893	0.987	0.981	0.938