| 随机森林 | criterion | entropy(熵) |
| estimator | 25 | |
| max depth | 6 | |
| min samples split | 3 | |
| min samples leaf | 3 | |
| 梯度提升树(GBDT) | learning rate | 0.2 |
| estimator | 20 | |
| max depth | 3 | |
| min samples split | 2 | |
| min samples leaf | 2 | |
| subsample | 0.6 |