| 模型名称 |
|
| precision | recall | f1_score |
| 随机森林 | 调参前 | 1 | 0.67 | 0.97 | 0.79 |
| 2 | 0.75 | 0.25 | 0.38 | ||
| 3 | 0 | 0 | 0 | ||
| 调参后 | 1 | 0.64 | 1 | 0.78 | |
| 2 | 0 | 0 | 0 | ||
| 3 | 0 | 0 | 0 | ||
| Adaboost | 调参前 | 1 | 0.67 | 0.91 | 0.72 |
| 2 | 0.33 | 0.25 | 0.29 | ||
| 3 | 0 | 0 | 0 | ||
| 调参后 | 1 | 0.67 | 0.91 | 0.77 | |
| 2 | 0.40 | 0.17 | 0.24 | ||
| 3 | 0.5 | 0.17 | 0.25 | ||
| GradientBoosting | 调参前 | 1 | 0.68 | 0.84 | 0.75 |
| 2 | 0.44 | 0.33 | 0.38 | ||
| 3 | 1 | 0.17 | 0.29 | ||
| 调参后 | 1 | 0.65 | 0.81 | 0.72 | |
| 2 | 0.12 | 0.08 | 0.10 | ||
| 3 | 0 | 0 | 0 | ||
| XGBoost | 调参前 | 1 | 0.66 | 0.78 | 0.71 |
| 2 | 0.22 | 0.17 | 0.19 | ||
| 3 | 0 | 0 | 0 | ||
| 调参后 | 1 | 0.65 | 0.81 | 0.72 | |
| 2 | 0.33 | 0.25 | 0.29 | ||
| 3 | 0 | 0 | 0 | ||
| LightGBM | 调参前 | 1 | 0.64 | 0.78 | 0.7 |
| 2 | 0.11 | 0.08 | 0.1 | ||
| 3 | 0 | 0 | 0 | ||
| 调参后 | 1 | 0.67 | 0.91 | 0.77 | |
| 2 | 0.20 | 0.08 | 0.12 | ||
| 3 | 0 | 0 | 0 |