From: Inferring microbial interaction network from microbiome data using RMN algorithm
Non-noise | Accuracy | TPR | TNR | F-measure |
---|---|---|---|---|
L0.8D0.8 | 0.861 | 0.929 | 0.855 | 0.890 |
L1.8D0.8 | 0.833 | 0.857 | 0.831 | 0.844 |
L2.8D0.8 | 0.756 | 0.857 | 0.747 | 0.798 |
L3.8D0.8 | 0.722 | 0.786 | 0.717 | 0.750 |
L0.8D1.8 | 0.822 | 0.857 | 0.819 | 0.838 |
L0.8D2.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L0.8D3.8 | 0.828 | 0.857 | 0.825 | 0.841 |
Low-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.856 | 0.929 | 0.849 | 0.887 |
L1.8D0.8 | 0.767 | 0.786 | 0.765 | 0.775 |
L2.8D0.8 | 0.756 | 0.786 | 0.753 | 0.769 |
L3.8D0.8 | 0.756 | 0.714 | 0.759 | 0.736 |
L0.8D1.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L0.8D2.8 | 0.811 | 0.857 | 0.807 | 0.831 |
L0.8D3.8 | 0.822 | 0.857 | 0.819 | 0.838 |
Medium-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L1.8D0.8 | 0.811 | 0.786 | 0.813 | 0.799 |
L2.8D0.8 | 0.767 | 0.786 | 0.765 | 0.775 |
L3.8D0.8 | 0.761 | 0.786 | 0.759 | 0.772 |
L0.8D1.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L0.8D2.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L0.8D3.8 | 0.833 | 0.929 | 0.825 | 0.874 |
High-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.850 | 0.857 | 0.849 | 0.853 |
L1.8D0.8 | 0.800 | 0.786 | 0.801 | 0.793 |
L2.8D0.8 | 0.756 | 0.786 | 0.753 | 0.769 |
L3.8D0.8 | 0.756 | 0.786 | 0.753 | 0.769 |
L0.8D1.8 | 0.833 | 0.857 | 0.831 | 0.844 |
L0.8D2.8 | 0.833 | 0.857 | 0.831 | 0.844 |
L0.8D3.8 | 0.844 | 0.857 | 0.843 | 0.850 |