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Table 7 ACT Results

From: Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions

Run number

Label

Accuracy (%)

Specificity (%)

Sensitivity (%)

F1-Score (%)

MCC

AUC iP/R (%)

1

NBM-12-1k-td

80.02

80.90

75.06

53.26

0.449

61.29

2

NBM-12-400-td

81.00

81.75

76.81

55.08

0.472

62.13

3

NBM-12-1k-d

82.40

83.85

74.29

56.15

0.482

60.48

4

SVM-12-400-d

87.73

94.79

48.24

54.40

0.480

43.76

5

SVM-12-400-td

87.27

91.81

61.87

59.58

0.521

48.47

6

NBM-1-1k-td

77.80

77.84

77.58

51.46

0.432

57.44

7

NBM-1-400-td

78.05

78.15

77.47

51.71

0.434

57.56

8

NBM-1-1k-d

79.90

81.00

73.74

52.67

0.441

54.97

9

SVM-1-400-d

86.25

92.06

53.74

54.24

0.462

41.58

10

SVM-1-400-td

86.87

90.39

67.14

60.80

0.533

47.40

  1. The result of submitted ACT runs on the test data. Legend: MCC=Matthew’s correlation coefficient