Research Article
A Novel Margin-Based Measure for Directed Hill Climbing Ensemble Pruning
Table 3
The mean accuracy and ranking of MM, UWA, CON, COM, and bagging. Here, the backward elimination is used to pruning ensemble.
| Data set | MM | UWA | CON | COM | Bagging |
| ID 1 | 98.36 (1.0) | 98.27 (2.0) | 98.22 (3.0) | 98.02 (4.0) | 97.34 (5.0) | ID 2 | 76.88 (2.0) | 75.77 (4.0) | 77.01 (1.0) | 76.35 (3.0) | 73.94 (5.0) | ID 3 | 71.44 (1.0) | 69.63 (4.0) | 70.39 (2.0) | 69.89 (3.0) | 65.93 (5.0) | ID 4 | 84.67 (2.0) | 83.93 (4.0) | 84.43 (3.0) | 84.68 (1.0) | 83.32 (5.0) | ID 5 | 89.89 (1.0) | 88.96 (4.0) | 89.52 (3.0) | 89.60 (2.0) | 88.26 (5.0) | ID 6 | 83.53 (2.0) | 83.06 (4.0) | 83.35 (3.0) | 83.58 (1.0) | 82.33 (5.0) | ID 7 | 60.08 (1.0) | 58.82 (5.0) | 60.07 (2.0) | 59.83 (3.0) | 59.29 (4.0) | ID 8 | 71.36 (1.0) | 70.26 (4.0) | 71.14 (2.0) | 70.67 (3.0) | 68.67 (5.0) | ID 9 | 85.03 (2.0) | 85.18 (1.0) | 84.38 (5.0) | 84.05 (4.0) | 84.26 (3.0) | ID 10 | 99.44 (1.0) | 99.42 (3.0) | 99.42 (3.0) | 99.42 (3.0) | 99.29 (5.0) | ID 11 | 98.60 (1.5) | 98.60 (1.5) | 98.59 (3.0) | 98.45 (5.0) | 98.55 (4.0) | ID 12 | 99.12 (1.0) | 99.10 (2.0) | 99.06 (3.0) | 98.94 (4.0) | 98.61 (5.0) | ID 13 | 81.96 (2.0) | 80.96 (4.0) | 81.42 (3.0) | 83.42 (1.0) | 80.84 (5.0) | ID 14 | 97.19 (1.0) | 97.17 (2.0) | 97.15 (3.0) | 97.11 (4.0) | 96.98 (5.0) | ID 15 | 96.05 (1.0) | 95.90 (4.0) | 95.93 (3.0) | 96.04 (2.0) | 95.38 (5.0) | ID 16 | 98.40 (1.0) | 98.39 (2.5) | 98.39 (2.5) | 98.36 (4.0) | 98.20 (5.0) | ID 17 | 76.12 (3.0) | 75.72 (4.0) | 76.25 (2.0) | 76.65 (1.0) | 74.39 (5.0) | ID 18 | 93.84 (1.0) | 93.44 (3.0) | 92.89 (4.0) | 93.75 (2.0) | 90.91 (5.0) |
| Average rank | 1.42 | 3.22 | 2.69 | 2.83 | 4.78 |
|
|