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Table 2 Performance comparison of total accuracies with various C value (Tradeoff between training error and margin) parameter used in RBF kernel in SVM.

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

Location

γ=0.03, C=1000

γ=0.03, C=500

γ=0.03, C=100

γ=0.1, C=100

Chloroplast

82.47

82.61

82.33

84.38

Golgi

73.86

74.44

75.01

75.46

Vacuole

66.54

66.42

65.89

69.62

Lysosome

73.73

74.19

76.37

77.92

Peroxisome

73.87

74.90

77.13

77.32