Skip to main content
. 2020 Feb 6;15(2):e0228422. doi: 10.1371/journal.pone.0228422

Table 5. SVM with different kernels using 6 features.

Different SVM kernels Training accuracy (%) Testing accuracy(%)
SVM (kernel = linear, c = 1) 86.30 86.96
SVM (kernel = RBF, c = 0.9, γ = 0.1) 87.55 82.60
SVM (kernel = poly, c = 1, degree = 8) 71.78 71.01
SVM (kernel = sigmoid, c = 1) 81.74 82.60