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Table 4 Performance of FCD features

From: Learning an enriched representation from unlabeled data for protein-protein interaction extraction

ID

Local

SP-EDF

CP-EDF

DS-EDF

Linear

RBF

Precision

Recall

F-score

AUC

1

*

   

*

 

62.13

62.40

61.4

86.11

2

 

*

  

*

 

53

64.48

57.6

81.75

3

 

*

   

*

58.08

62.67

59.16

82.97

4

  

*

 

*

 

56.83

53.55

54.33

79.26

5

  

*

  

*

54.64

57.71

54.47

78.34

6

   

*

*

 

53.5

56.4

53.87

78.02

7

   

*

 

*

54.45

58.71

55.56

79.79

8

 

*

*

*

*

 

54.08

63.66

58.06

82.61

9

 

*

*

*

*

*

59.7

61.52

60.06

83.78

10

*

*

*

*

*

*

60.47

68.31

63.54

87.24

  1. In RBF SVM, SVD is used to reduce the feature dimension and a SVM with RBF kernel is used to classify examples. Run 10 combines the outputs of Run 1 and Run 9.
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BMC Bioinformatics

ISSN: 1471-2105

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