| 模型 | 分类正确率 | AUC值 | ||
| 训练集 | 测试集 | 训练集 | 测试集 | |
| SVM (支持向量机) | 81.84% | 81.76% | 0.7830 | 0.7303 |
| RF (随机森林) | 99.32% | 82.12% | 0.9995 | 0.7741 |
| ANN (人工神经网络) | 83.31% | 80.85% | 0.8152 | 0.7583 |
| GBDT (梯度提升树) | 83.22% | 82.29% | 0.8191 | 0.7885 |
| 简单投票法 | 91.20% | 82.24% | 0.9616 | 0.7873 |
| Stacking集成模型 | 94.66% | 85.31% | 0.9711 | 0.7901 |