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. 2018 May 13;19:264–270. doi: 10.1016/j.dib.2018.05.025

Table 4.

SVM results.

Type Kernel C G A (%) S (%) SN (%)
C-SVC SIGMOID 0.0625 1.52587890625E−5 82.04 94.17 69.90
C-SVC SIGMOID 1.0 0.00390625 85.44 86.41 84.47
C-SVC SIGMOID 16.0 2.44140625E−4 87.86 88.35 87.38
C-SVC RBF 1.0 2.44140625E−4 82.04 94.17 69.90
C-SVC RBF 0.0625 0.00390625 86.41 98.06 74.76
C-SVC RBF 16.0 2.44140625E−4 91.26 92.23 90.29
C-SVC LINEAR 0.00390625 1.52587890625E−5 87.86 88.35 87.38
NU-SVC SIGMOID 16.0 0.0625 57.28 54.37 60.19
NU-SVC SIGMOID 1.0 0.00390625 93.20 94.17 92.23
NU-SVC RBF 256.0 2.44140625E−4 95.63 96.12 95.15
ONE-CLASS SIGMOID 1.0 0.00390625 23.79 0.0 32.67
ONE-CLASS SIGMOID 1.0 1.52587890625E−5 24.27 0.0 32.47
ONE-CLASS SIGMOID 0.0625 1.0 48.54 0.0 96.15
ONE-CLASS RBF 16.0 0.0625 20.87 0.0 26.54
ONE-CLASS RBF 16.0 1.52587890625E−5 21.84 0.0 30.41
ONE-CLASS RBF 65,536.0 0.00390625 24.76 0.0 34.46

* Cost (C), Gamma (G), Accuracy (A), Specificity (S) and Sensibility (SN).