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The accuracy obtained as a result of training the ensemble of C5.0 boosted decision trees.
| Trial no. | Decision tree size | Errors |
|---|---|---|
| 0 | 11 | 6 (2.4%) |
| 1 | 6 | 16 (6.4%) |
| 2 | 4 | 49 (19.6%) |
| 3 | 7 | 17 (6.8%) |
| 4 | 8 | 11 (4.4%) |
| 5 | 9 | 8 (3.2%) |
| 6 | 9 | 16 (6.4%) |
| 7 | 7 | 21 (8.4%) |
| 8 | 8 | 28 (11.2%) |
| 9 | 14 | 4 (1.6%) |
| Boosted ensemble | 0 (0.0%) |
Notice the error rate decreases as more decision trees are inducted into the ensemble, with a final (training) error of 0, i.e., resulting in a perfect classification of all training examples.
