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 |