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Table 4 Table shows comparison of TNf, TPf and TA with balanced and unbalanced dataset using Polynomial kernel in SVM with d = 2.

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

Location

Balanced data

Unbalanced data

 

TNf (%)

TPf (%)

TA (%)

TNf (%)

TPf (%)

TA (%)

Chloroplast

82.11

86.75

82.57

63.19

79.61

64.13

Cytoplasm

69.35

76.58

70

76.62

83.4

78.41

Cytoskeleton

77.1

81.72

77.58

70.43

53.21

70.09

E.R.

72.78

77.99

73.31

66.17

58.21

66.02

Extracellular

80.91

82.01

81.02

71.98

75.02

72.33

Golgi

72.3

79.16

73

63.11

66.67

63.25

Lysosome

74

80.77

74.21

80.25

82.74

80.23

Mitochondrion

73.52

76.42

73.82

55.45

71.94

56.12

Nucleus

79.62

82.94

79.94

84.42

86.64

84.73

Peroxisome

72.96

78.6

73.32

55.11

60.33

55.16

Plasma Membrane

72.28

74.8

73.44

93.08

90.44

92.16

Vacuole

66.82

73.82

66.99

48.9

80.67

59.18