Table 2

Predictive performance of classifiers constructed using single sequence features.

Features

AC

(%)

SN

(%)

SP

(%)

ST

(%)

MCC

ROC

AUC


H

75.88

71.62

77.79

74.70

0.4728

0.8237


K

73.29

73.90

73.02

73.46

0.4402

0.7925


M

68.06

73.52

65.62

69.57

0.3629

0.7480


P

75.94

71.24

78.04

74.64

0.4718

0.8234


Co

70.18

71.62

69.53

70.58

0.3838

0.7586


A

76.41

74.29

77.36

75.82

0.4904

0.8206


B

78.18

74.48

79.83

77.15

0.5199

0.8503


C

72.18

71.05

72.68

71.86

0.4116

0.7847


Aa

79.12

76.57

80.26

78.41

0.5431

0.8459


Bu

82.06

75.62

84.94

80.28

0.5919

0.8777


S1

69.82

70.86

69.36

70.11

0.3756

0.7754


S2

70.24

72.19

69.36

70.78

0.3875

0.7665


S3

82.53

72.19

87.15

79.67

0.5922

0.8835


F

61.41

63.62

60.43

62.02

0.2226

0.6728


R

66.47

65.14

67.06

66.10

0.3008

0.7140


Mc

78.35

73.52

80.51

77.02

0.5202

0.8417


No

69.82

74.86

67.57

71.22

0.3944

0.7656


Rf

62.06

73.71

56.85

65.28

0.2831

0.6889


Rm

75.94

69.90

78.64

74.27

0.4672

0.8118


Tt

83.59

66.48

91.23

78.86

0.6035

0.8704


Teng et al. BMC Genomics 2010 11(Suppl 2):S5   doi:10.1186/1471-2164-11-S2-S5

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