Table 1 Several performance metrics of AdaBoostLSVM classifier with different ε th on the optimal C values
From: GA-AdaBoostSVM classifier empowered wireless network diagnosis
ε th | DER | UDR | FPR | C_optimal | OE | PFP |
|---|---|---|---|---|---|---|
0.01 | 0.419 | 0.19 | 0.407 | 0.3 | 0.459 | 0.587 |
0.05 | 0.0645 | 0.16 | 0.0129 | 3 | 0.068 | 0.041 |
0.1 | 0.0713 | 0.196 | 0.0105 | 1 | 0.077 | 0.035 |
0.2 | 0.072 | 0.137 | 0.03 | 1 | 0.076 | 0.089 |
0.3 | 0.0998 | 0.186 | 0.0444 | 0.5 | 0.107 | 0.133 |
0.4 | 0.106 | 0.178 | 0.057 | 0.5 | 0.116 | 0.166 |
0.5 | 0.0997 | 0.144 | 0.0645 | 3 | 0.111 | 0.176 |