Table 2.
The precision, recall of ME classifier, and the number of “false” negative instances that were actually positive instances in four iterations.
| Iteration 1 | Iteration 2 | Iteration 3 | Iteration 4 | |
|---|---|---|---|---|
| Precision | 94.93% | 98.17% | 98.50% | 98.54% |
| Recall | 97.52% | 97.95% | 98.00% | 98.02% |
| FP ratio∗ | 546/688 | 70/250 | 24/205 | 16/201 |
Note: ∗FP ratio represents the number of “false” negative instances that were actually positive instances.