Research Article
An Enhanced Artificial Bee Colony-Based Support Vector Machine for Image-Based Fault Detection
Table 3
Classification accuracy of the proposed EABC-SVM and other ABC variants-SVM.
| Dataset | Methods | EABC-SVM | GABC-SVM | MABC-SVM | NABC-SVM | SDABC-SVM |
| WDBC | 97.25 ± 0.71 | 94.92 ± 2.06 | 96.09 ± 0.94 | 96.22 ± 0.97 | 96.01 ± 1.06 | Ionosphere | 95.63 ± 0.38 | 94.27 ± 1.43 | 94.52 ± 0.48 | 94.47 ± 2.15 | 94.00 ± 1.60 | Musk1 | 93.04 ± 1.70 | 90.18 ± 2.58 | 92.27 ± 1.82 | 91.35 ± 1.78 | 87.69 ± 2.15 | Sonar | 91.54 ± 0.78 | 87.98 ± 2.03 | 88.70 ± 2.01 | 88.25 ± 2.40 | 88.10 ± 0.92 | Vehicle | 85.30 ± 0.50 | 78.34 ± 2.55 | 79.41 ± 2.74 | 81.53 ± 2.36 | 78.84 ± 2.23 | Wine | 99.07 ± 1.04 | 98.74 ± 0.59 | 98.79 ± 0.67 | 98.57 ± 0.70 | 98.55 ± 0.99 |
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