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 | 0.706 | 1.000 | 0.681 | 0.810 |
L2.8D0.8 | 0.617 | 1.000 | 0.584 | 0.738 |
L3.8D0.8 | 0.556 | 1.000 | 0.518 | 0.683 |
L0.8D1.8 | 0.828 | 0.929 | 0.819 | 0.871 |
L0.8D2.8 | 0.828 | 0.929 | 0.819 | 0.871 |
L0.8D3.8 | 0.828 | 0.929 | 0.819 | 0.871 |
Low-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.856 | 0.929 | 0.849 | 0.887 |
L1.8D0.8 | 0.678 | 0.929 | 0.657 | 0.769 |
L2.8D0.8 | 0.611 | 0.929 | 0.584 | 0.717 |
L3.8D0.8 | 0.550 | 0.929 | 0.518 | 0.665 |
L0.8D1.8 | 0.761 | 0.929 | 0.747 | 0.828 |
L0.8D2.8 | 0.761 | 0.929 | 0.747 | 0.828 |
L0.8D3.8 | 0.761 | 0.929 | 0.747 | 0.828 |
Medium-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.828 | 0.857 | 0.825 | 0.841 |
L1.8D0.8 | 0.706 | 0.929 | 0.687 | 0.790 |
L2.8D0.8 | 0.622 | 0.929 | 0.596 | 0.726 |
L3.8D0.8 | 0.533 | 0.929 | 0.500 | 0.650 |
L0.8D1.8 | 0.744 | 0.857 | 0.735 | 0.791 |
L0.8D2.8 | 0.744 | 0.857 | 0.735 | 0.791 |
L0.8D3.8 | 0.744 | 0.857 | 0.735 | 0.791 |
High-noise | Accuracy | TPR | TNR | F-measure |
L0.8D0.8 | 0.850 | 0.857 | 0.849 | 0.853 |
L1.8D0.8 | 0.733 | 0.929 | 0.717 | 0.809 |
L2.8D0.8 | 0.633 | 0.929 | 0.608 | 0.735 |
L3.8D0.8 | 0.572 | 0.929 | 0.542 | 0.685 |
L0.8D1.8 | 0.778 | 0.857 | 0.771 | 0.812 |
L0.8D2.8 | 0.778 | 0.857 | 0.771 | 0.812 |
L0.8D3.8 | 0.778 | 0.857 | 0.771 | 0.812 |