Table 8 Average classification accuracy comparison between BGWOCS and competing algorithms.
From: A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search
No. | Dataset | BGWOCS | HRO-GWO | GWOGA | MTBGWO | IBGWO |
|---|---|---|---|---|---|---|
1 | Breastcancer | 98.21 | 97.82 | 97.54 | 97.91 | 97.68 |
2 | HeartEW | 90.42 | 88.63 | 89.10 | 89.57 | 89.34 |
3 | SonarEW | 96.85 | 95.42 | 94.91 | 95.74 | 95.10 |
4 | WineEW | 98.36 | 97.52 | 97.26 | 97.94 | 97.64 |
5 | Gisette | 91.74 | 89.85 | 90.13 | 90.74 | 89.95 |
6 | Musk1 | 97.15 | 95.94 | 96.02 | 96.55 | 95.95 |
7 | Madelon | 92.64 | 91.18 | 91.27 | 91.75 | 90.93 |
8 | Arcene | 94.23 | 93.02 | 92.64 | 93.56 | 92.56 |
9 | Isolet | 89.87 | 88.25 | 87.92 | 88.63 | 87.94 |
10 | Dexter | 93.48 | 92.06 | 91.54 | 92.35 | 91.64 |
Average | 94.70 | 93.17 | 93.03 | 93.68 | 92.87 |
