. 2019 May 17;9:7536. doi: 10.1038/s41598-019-44012-w

Table 2.

Performance of top models for each number of microbiome markers.

Number of microbiome markers	Model string	AIC	Training				Validation				AUC in testing
Number of microbiome markers	Model string	AIC	Sensitivity	Specificity	Accuracy	AUC	Sensitivity	Specificity	Accuracy	AUC	AUC in testing
10	class~age + sex + g778 + g362 + g319 + g769 + g147 + g725 + g348 + g837 + g732 + g179	208.8	0.845	0.865	0.859	0.923	0.727	0.834	0.804	0.860	0.893
9	class~age + sex + g778 + g362 + g319 + g147 + g725 + g348 + g837 + g732 + g179	207.1	0.844	0.856	0.853	0.920	0.750	0.838	0.813	0.873	0.892
8	class~age + sex + g778 + g362 + g319 + g147 + g725 + g837 + g732 + g179	206.4	0.844	0.859	0.855	0.921	0.748	0.836	0.811	0.865	0.887
7	class~age + sex + g778 + g362 + g319 + g147 + g725 + g837 + g732	205.9	0.814	0.856	0.844	0.914	0.759	0.861	0.832	0.886	0.885
6	class~age + sex + g778 + g362 + g319 + g147 + g837 + g732	205.3	0.808	0.863	0.848	0.916	0.746	0.833	0.808	0.870	0.887
5*	class~age + sex + g778 + g362 + g319 + g147 + g732	205.1	0.797	0.871	0.850	0.908	0.729	0.850	0.816	0.879	0.875
4	class~age + sex + g362 + g319 + g147 + g732	206.3	0.783	0.855	0.835	0.904	0.746	0.836	0.811	0.872	0.875
3	class~age + sex + g362 + g147 + g732	211.9	0.804	0.830	0.823	0.901	0.757	0.829	0.809	0.877	0.850
2	class~age + sex + g362 + g732	221.6	0.790	0.823	0.814	0.888	0.761	0.790	0.781	0.864	0.820
1	class~age + sex + g319	257.5	0.624	0.835	0.775	0.795	0.597	0.822	0.759	0.776	0.767
0	class~age + sex	321.6	0.633	0.572	0.589	0.660	0.637	0.571	0.590	0.650	0.562

^*The finally selected model showing the lowest AIC.

^**The OTU symbols are as following: g778, Pseudomonas; g362, Streptococcus; g319, Staphylococcus; g769, Acinetobacter; g147, Bifidobacterium; g725, Klebsiella; g348, Enterococcus; g837, Akkermansia; g732, Trabulsiella; g179, Prevotella.