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Table 6 The statistical significance of performance improvements achieved by our ensemble methods

From: Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

Evaluation

Methods

Weighted average ensemble method

Classifier ensemble method(L1)

Classifier ensemble method(L2)

3-CV

Vilar’s substructure-based model

1.05E-94

2.67E-78

1.18E-86

Vilar’s CN index-based model

4.12E-74

7.32E-67

1.14E-71

Substructure-based label propagation model

1.02E-45

8.30E-34

2.96E-41

Side effect-based Label propagation model

1.61E-44

8.86E-33

3.28E-40

Off side effect-based label propagation model

3.32E-42

1.94E-31

1.17E-38

5-CV

Vilar’s substructure-based model

4.76E-52

3.12E-48

5.42E-54

Vilar’s CN index-based model

2.27E-48

2.34E-44

1.14E-48

Substructure-based label propagation model

1.68E-31

1.71E-29

1.28E-36

Side effect-based Label propagation model

1.27E-30

6.71E-29

3.04E-36

Off side effect-based label propagation model

4.03E-30

2.43E-28

1.67E-35