Table 3.
Results of Classification Example 1. The numbers in parentheses show the corresponding standard deviations. MSC stands for Mis-Classification Rate, TP and FN represent true positive rates and false negative rates, respectively.
| p0 | Method | Train MCR | Test MCR | TP | FN |
|---|---|---|---|---|---|
| 0 | L2 Kern | 2.94 (0.93) | 2.92 (0.50) | – | |
| SIS | 2.94 (0.93) | 2.92 (0.50) | 1 | 0 | |
| RFE | 2.94 (0.93) | 2.92 (0.50) | 1 | 0 | |
| KNIFE | 4.00 (2.92) | 4.32 (3.94) | 0.98 | 0 | |
| DOSK | 1.63 (0.73) | 1.72 (0.34) | 1 | 0 | |
|
| |||||
| 4 | L2 Kern | 1.63 (0.89) | 6.68 (0.75) | – | |
| SIS | 2.31 (1.22) | 5.23 (1.50) | 1 | 0.69 | |
| RFE | 9.48 (12.84) | 12.02 (12.40) | 0.8 | 0.36 | |
| KNIFE | 3.33 (1.30) | 3.31 (0.50) | 1 | 0 | |
| DOSK | 2.07 (0.12) | 2.02 (0.56) | 1 | 0 | |
|
| |||||
| 8 | L2 Kern | 0.08 (0.21) | 15.07 (1.89) | – | |
| SIS | 0.96 (1.00) | 9.53 (4.45) | 1 | 0.66 | |
| RFE | 5.42 (8.97) | 12.18 (9.16) | 0.86 | 0.46 | |
| KNIFE | 3.48 (1.87) | 3.89 (2.97) | 0.99 | 0 | |
| DOSK | 1.58 (1.63) | 1.79 (0.34) | 1 | 0 | |