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Table 5 Prediction results of Support Vector Machine (SVM) with radial basis function (RBF) kernel. Table shows comparison of true negative fraction (TNf), true positive fraction (TPf), and total accuracy (TA).

From: Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition

Location

TNf (%)

TPf (%)

TA (%)

 

420 features

20 features

420 features

20 features

420 features

20 features

Chloroplast

83.87

66.93

88.98

85.66

84.38

68.76

Cytoplasm

71.66

77.04

78.02

43.10

72.23

73.98

Cytoskeleton

77.58

81.42

81.48

54.01

77.98

78.71

E.R.

75.98

66.26

80.74

65.50

76.45

66.18

Extracellular

82.16

78.17

83.41

68.38

82.28

77.19

Golgi

75.00

67.08

79.64

61.34

75.46

66.53

Lysosome

77.75

77.52

83.34

70.69

77.92

77.30

Mitochondrion

74.25

63.44

77.57

80.88

74.58

65.19

Nucleus

81.96

81.94

83.10

67.89

82.07

80.55

Peroxisome

77.13

67.86

80.05

59.09

77.32

67.29

Plasma Membrane

73.58

74.34

78.14

61.44

74.04

73.06

Vacuole

69.54

67.86

72.04

71.03

67.62

67.64