Table 2 Performance of top models for each number of microbiome markers.

From: Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma

Number of microbiome markers Model string AIC Training Validation AUC in testing
Sensitivity Specificity Accuracy AUC Sensitivity Specificity Accuracy AUC
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
  1. *The finally selected model showing the lowest AIC.
  2. **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.