| 方案 | 评估指标 | 机器学习算法 | ||
| SVM | RF | LR | ||
|
| Time | 45 ms | 304 ms | 53 ms |
| 方案一 | Accuracy | 71.79% | 81.68% | 80.25% |
| Recall | 95.38% | 91.28% | 87.66% | |
| Precision | 72.38% | 83.67% | 84.39% | |
| F1 | 82.27% | 87.24% | 85.93% | |
|
| Time | 30 ms | 367 ms | 68 ms |
| 方案二 | Accuracy | 72.50% | 82.19% | 81.30% |
| Recall | 94.10% | 90.74% | 89.96% | |
| Precision | 73.41% | 84.62% | 83.98% | |
| F1 | 82.44% | 87.50% | 86.81% | |
|
| Time | 41 ms | 348 ms | 52 ms |
| 方案三 | Accuracy | 74.77% | 76.17% | 66.67% |
| Recall | 97.17% | 89.71% | 80.47% | |
| Precision | 74.16% | 78.82% | 73.76% | |
| F1 | 84.11% | 83.82% | 76.85% | |
|
| Time | 21 ms | 271 ms | 61 ms |
| 方案四 | Accuracy | 74.44% | 75.69% | 72.15% |
| Recall | 97.18% | 91.02% | 87.40% | |
| Precision | 73.84% | 77.57% | 75.78% | |
| F1 | 83.91% | 83.71% | 81.12% | |