Research Article
Angle Modulated Artificial Bee Colony Algorithms for Feature Selection
Table 4
Classification accuracy of each ABC algorithm on the tested datasets by using
NN as an induction algorithm.
| | | SN | SR | IS | DE | HC | AN |
| Without feature selection | Accuracy (%) | 91.20 ± 0.24 | 86.15 ± 0.87 | 87.09 ± 0.48 | 94.64 ± 0.39 | 79.10 ± 1.21 | 99.13 ± 0.11 | Average number of features | 35 | 60 | 34 | 34 | 22 | 38 |
| CABC | Accuracy (%) | 93.92 ± 0.34 | 88.32 ± 0.90 | 92.19 ± 0.46 | 97.43 ± 0.29 | 85.87 ± 0 | 99.44 ± 0.12 | Average number of features | 24.3 | 34 | 9.3 | 20.6 | 9.5 | 25.2 |
| EABC | Accuracy (%) | 93.66 ± 0.31 | 87.40 ± 0.54 | 91.31 ± 0.33 | 95.57 ± 0.31 | 84.46 ± 0.50 | 99.44 ± 0.12 | Average number of features | 26.8 | 35.5 | 10.3 | 20.8 | 12.1 | 26.3 |
| GABC | Accuracy (%) | 93.79 ± 0.37 | 88.89 ± 1.07 | 91.57 ± 0.50 | 96.58 ± 0.58 | 85.87 ± 0 | 99.42 ± 0.13 | Average number of features | 24.5 | 33.9 | 11.7 | 21.2 | 9.3 | 29.2 |
| GDABC | Accuracy (%) | 93.66 ± 0.29 | 88.51 ± 0.94 | 92.39 ± 0.42 | 96.04 ± 0.51 | 85.87 ± 0 | 99.41 ± 0.10 | Average number of features | 24.4 | 32.7 | 9.8 | 22.5 | 10 | 28.2 |
| MABC | Accuracy (%) | 94.06 ± 0.35 | 88.70 ± 1.09 | 91.54 ± 0.53 | 97.98 ± 0.32 | 85.87 ± 0 | 99.41 ± 0.10 | Average number of features | 25 | 29.8 | 8.4 | 20.2 | 7.1 | 27.8 |
| OABC | Accuracy (%) | 93.48 ± 0.34 | 92.74 ± 0.86 | 91.40 ± 0.35 | 97.43 ± 0.29 | 85.27 ± 0.28 | 99.41 ± 0.10 | Average number of features | 25.1 | 33.1 | 11.6 | 7.8 | 7.8 | 25.8 |
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