| 模型名称 | 参数名称 | 调参范围 | 调参结果 |
| 随机森林 | n_estimators | [50, 100, 200, 300, 400, 500] | 100 |
| max_depth | [1, 2, 3, 4, 5, 6, 7, 8, 9] | 2 | |
| min_samples_leaf | [5, 10, 20, 30, 40, 50] | 10 | |
| min_samples_split | [5, 7, 9, 11, 13, 15] | 5 | |
| Adaboost | n_estimators | [50, 100, 200, 300, 400, 500] | 300 |
| learning_rate | [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] | 0.9 | |
| GradientBoosting | n_estimators | [50, 100, 200, 300, 400, 500] | 300 |
| learning_rate | [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] | 0.7 | |
| max_depth | [2, 3, 4, 5, 6, 7, 8, 9] | 5 | |
| XGBoost | n_estimators | [50, 100, 200, 300, 400, 500] | 200 |
| max_depth | [2, 3, 4, 5, 6, 7, 8, 9] | 5 | |
| learning_rate | [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] | 0.5 | |
| LightGBM | n_estimators | [50, 100, 200, 300, 400, 500] | 100 |
| num_leaves | [20, 25, 30, 35, 40] | 20 | |
| learning_rate | [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] | 0.1 |