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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
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