Table 4.
Performance evaluation of RotF-LB and other classification models using the optimistic set A* and original set A of independent variables
| Classification models | RotF | LB | AB-RotF | RF-LB | RotF-LB | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Set of independent variables | A* (%) | A (%) | A* (%) | A (%) | A* (%) | A (%) | A* (%) | A (%) | A* (%) | A (%) |
| Accuracy | 75.74 | 64.68 | 81.43 | 69.54 | 77.60 | 66.27 | 87.92 | 75.08 | 91.72 | 78.33 |
| Precision | 86.07 | 73.50 | 76.46 | 65.30 | 86.55 | 73.91 | 79.41 | 67.82 | 92.96 | 79.39 |
| Recall | 83.81 | 71.57 | 94.13 | 80.39 | 76.41 | 65.25 | 86.89 | 74.20 | 95.53 | 81.58 |
| F-measure | 84.92 | 72.53 | 84.38 | 72.06 | 81.16 | 69.31 | 82.98 | 70.87 | 94.23 | 80.47 |
| AUC | 79.17 | 67.61 | 75.23 | 64.25 | 80.49 | 68.74 | 83.13 | 70.99 | 92.89 | 79.33 |