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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