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. 2020 Mar 4;9(3):giaa017. doi: 10.1093/gigascience/giaa017

Table 2:

The average classification accuracy score of the k-FLBPCM, FLBPbCM, and FLBP methods with the second-order polynomial and RBF kernels

C γ Thickness Method Accuracy score
Polynomial kernel of degree 2 (%) RBF kernel (%)
10 1E−05 2 k-FLBPCM method, k = 0.5 95.46 97.32
10 1E−05 2 k-FLBPCM method, k = 0.2 94.91 97.32
10 1E−05 2 k-FLBPCM method, k = 0.1 94.27 96.40
60 1E−06 2 k-FLBPCM method, k = 1 94.92 97.50
60 1E−06 2 k-FLBPCM method, k = 0.5 94.56 96.89
60 1E−06 2 k-FLBPCM method, k = 0.2 93.55 96.06
10 1E−05 No thickness FLBP method 93.53 95.36
60 1E−06 No thickness FLBP method 93.74 96.72
10 1E−05 2 FLBPCM method 88.53 94.07
60 1E−06 2 FLBPCM method 88.26 94.83