Table 7. Accuracy of classification on different selected sets of features.
| Numbers of features | Accuracy (%) | Training time (s) |
|---|---|---|
| 1,000 | 93.5 | 29.609 |
| 2,000 | 94.0 | 33.149 |
| 3,000 | 95.9 | 66.200 |
| 4,000 | 96.2 | 85.856 |
| 5,000 | 97.0 | 109.880 |
| 5,120 (50%) | 97.6 | 111.690 |
| 2,560 (25%) | 95.7 | 55.151 |
| 6,000 | 96.9 | 144.810 |
| 7,000 | 96.9 | 166.360 |
| 8,000 | 96.6 | 196.040 |