Table 3.
Averages of classification accuracy, best fitness and selected features obtained from BDA and BDA-SA
| Data set | Accuracy | Best Fitness | Selected Features | |||
|---|---|---|---|---|---|---|
| BDA | BDA-SA | BDA | BDA-SA | BDA | BDA-SA | |
| Breastcancer | 0.968 | 0.988 | 0.038 | 0.018 | 6.000 | 6.000 |
| BreastEW | 0.960 | 0.974 | 0.043 | 0.030 | 13.500 | 12.450 |
| CongressEW | 0.967 | 0.975 | 0.035 | 0.028 | 5.000 | 4.150 |
| Exactly | 0.982 | 1.000 | 0.023 | 0.005 | 6.250 | 6.000 |
| Exactly2 | 0.744 | 0.759 | 0.244 | 0.240 | 1.450 | 1.450 |
| HeartEW | 0.842 | 0.895 | 0.159 | 0.109 | 5.950 | 6.900 |
| IonosphereEW | 0.919 | 0.929 | 0.079 | 0.074 | 11.650 | 10.400 |
| KrvskpEW | 0.958 | 0.976 | 0.031 | 0.028 | 18.350 | 14.400 |
| Lymphography | 0.872 | 0.911 | 0.131 | 0.092 | 7.400 | 8.500 |
| M-of-n | 0.995 | 0.997 | 0.006 | 0.008 | 6.200 | 6.150 |
| PenglungEW | 0.909 | 0.930 | 0.093 | 0.049 | 123.350 | 141.300 |
| SonarEW | 0.914 | 0.917 | 0.077 | 0.086 | 27.550 | 23.900 |
| SpectEW | 0.857 | 0.866 | 0.143 | 0.137 | 8.650 | 8.850 |
| Tic-tac-toe | 0.784 | 0.818 | 0.207 | 0.189 | 8.200 | 7.800 |
| BDA Vote | 0.953 | 0.964 | 0.049 | 0.037 | 6.550 | 3.050 |
| WaveformEW | 0.755 | 0.805 | 0.236 | 0.198 | 21.000 | 21.100 |
| WineEW | 0.987 | 0.999 | 0.009 | 0.008 | 6.200 | 8.850 |
| Zoo | 0.959 | 0.979 | 0.042 | 0.024 | 8.350 | 5.650 |
Bold values represent the best results