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. Author manuscript; available in PMC: 2015 Apr 24.
Published in final edited form as: Proc IEEE Southeastcon. 2014 Mar;2014:10.1109/SECON.2014.6950649. doi: 10.1109/SECON.2014.6950649

TABLE III.

3-Class classification performance for different classifiers

Classifier Training size

1% 2% 5% 10% 20%

NB 73.92 78.39 80.19 81.41 81.26
Y-NB (K=10) 75.11 79.88 82.38 83.83 85.16
Y-NB (K=20) 75.61 79.95 82.01 83.40 84.16
Y-NB (K=30) 75.87 79.72 82.43 83.22 83.71

MLP 76.57 80.61 84.90 87.21 90.45
Y-MLP (K=10) 76.96 80.27 84.13 85.58 87.13
Y-MLP (K=20) 77.16 79.96 83.08 86.00 86.84
Y-MLP (K=30) 77.23 79.68 83.06 86.08 86.80

SMO 74.29 77.27 79.05 80.74 82.53
Y-SMO (K=10) 77.16 80.42 83.52 86.09 87.42
Y-SMO (K=20) 76.98 80.30 82.70 86.22 87.22
Y-SMO (K=30) 77.04 79.94 83.10 85.93 86.99

J48 75.61 77.78 83.62 86.08 89.13
Y-J48 (K=10) 75.50 78.59 83.93 85.58 87.07
Y-J48 (K=20) 75.56 78.61 83.28 85.87 86.64
Y-J48 (K=30) 75.76 78.55 83.55 85.87 86.49

RF 76.92 80.77 85.19 88.18 91.07
Y-RF (K=10) 77.10 80.82 84.07 85.70 87.33
Y-RF (K=20) 77.24 80.58 83.15 86.17 86.83
Y-RF (K=30) 77.22 80.20 83.45 86.24 86.74