Table 1.13.
Classification accuracies of different classifiers using a PSO search wrapper subset method
| Method | RNIADT | BNT | NIB | RBF | LOR | C4.5 | ADT |
|---|---|---|---|---|---|---|---|
| PSO + ADT | 99.71 | 96.26 | 87.36 | 92.62 | 90.23 | 97.13 | 98.75 |
| PSO + BNT | 99.52 | 96.46 | 85.82 | 93.10 | 90.61 | 96.74 | 97.99 |
| PSO + NIB | 99.81 | 94.64 | 86.69 | 91.67 | 91.00 | 96.93 | 98.18 |
| PSO + RBF | 99.71 | 95.21 | 85.82 | 91.57 | 89.46 | 96.65 | 97.70 |
| PSO + C4.5 | 99.71 | 94.16 | 81.23 | 87.16 | 87.26 | 97.32 | 96.74 |
| PSO + LOR | 99.71 | 94.25 | 87.36 | 92.15 | 92.24 | 97.03 | 98.37 |