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Table 1 The best performance result with different parameters and different level of noise interference. Here L0.8 represents for 0 L d( O m , O c , O t ) 0.8 and D0.8 represents for D(O m , O c , O t ) < 0.8

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