表 5. Classification accuracy of different algorithms.
不同算法的分类准确性
| 算法名称 | 评价指标 | ||
| 准确率 | 灵敏度 | 特异度 | |
| K 近邻法(K = 5) | 94% | 87% | 84% |
| 贝叶斯 | 96% | 92% | 87% |
| 决策树 | 83% | 87% | 73% |
| 逻辑斯蒂回归 | 89% | 87% | 69% |
| 支持向量机 | 89% | 92% | 84% |
不同算法的分类准确性
| 算法名称 | 评价指标 | ||
| 准确率 | 灵敏度 | 特异度 | |
| K 近邻法(K = 5) | 94% | 87% | 84% |
| 贝叶斯 | 96% | 92% | 87% |
| 决策树 | 83% | 87% | 73% |
| 逻辑斯蒂回归 | 89% | 87% | 69% |
| 支持向量机 | 89% | 92% | 84% |