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Table 9 Detailed results of the random forest method with feature selection (RF_CFS)

From: Identification of protein functions using a machine-learning approach based on sequence-derived properties

Protein class

Sensitivity

Specificity

F-measure

MCC

Transport

90.27

97.10

0.93

0.88

Transcription

96.63

92.87

0.95

0.90

Translation

62.50

100.00

0.77

0.78

Gluconate utilisation

100.00

100.00

1.00

1.00

Amino acid biosynthesis

95.85

96.30

0.95

0.92

Fatty acid metabolism

77.78

99.73

0.87

0.85

Acetylcholine receptor inhibitor

100.00

100.00

1.00

1.00

G-protein coupled receptor

96.58

97.99

0.97

0.95

Guanine nucleotide-releasing factor

85.71

99.55

0.90

0.89

Fibre protein

66.67

100.00

0.80

0.81

Transmembrane

94.62

98.83

0.96

0.94

  1. MCC: Matthew's correlation coefficient