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.

DatasetMethods
EABC-SVMGABC-SVMMABC-SVMNABC-SVMSDABC-SVM

WDBC97.25 ± 0.7194.92 ± 2.0696.09 ± 0.9496.22 ± 0.9796.01 ± 1.06
Ionosphere95.63 ± 0.3894.27 ± 1.4394.52 ± 0.4894.47 ± 2.1594.00 ± 1.60
Musk193.04 ± 1.7090.18 ± 2.5892.27 ± 1.8291.35 ± 1.7887.69 ± 2.15
Sonar91.54 ± 0.7887.98 ± 2.0388.70 ± 2.0188.25 ± 2.4088.10 ± 0.92
Vehicle85.30 ± 0.5078.34 ± 2.5579.41 ± 2.7481.53 ± 2.3678.84 ± 2.23
Wine99.07 ± 1.0498.74 ± 0.5998.79 ± 0.6798.57 ± 0.7098.55 ± 0.99