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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
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