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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