Table 3.
Accuracy of different ensemble learning methods at different scales under pruning.
| Scale 20 | Scale 30 | Scale 40 | Scale 50 | |
|---|---|---|---|---|
| C4.5 | 86.654 | 98.644 | 95.543 | 97.864 |
| Bagging+C4.5 | 84.865 | 98.432 | 98.644 | 98.315 |
| Rotation Forest+C4.5 | 94.543 | 97.754 | 98.463 | 97.564 |
| MultiBoostAB+C4.5 | 93.643 | 98.643 | 98.864 | 94.764 |
| AdaboostM1+C4.5 | 94.532 | 93.754 | 98.342 | 96.574 |