Table 3. Observed results employing various hybrid ML approaches on the WDBC dataset.
| Hybrid ML Approaches | AC in % | MR in % | PR in % | SN in % | FS in % | SP in % | FNR in % | FPR in % | MCC in % | BA in % |
|---|---|---|---|---|---|---|---|---|---|---|
| RFE+GWO+NB | 93.57 | 6.43 | 94.29 | 95.19 | 94.74 | 91.04 | 4.81 | 8.96 | 86.47 | 93.12 |
| RFE+GWO+KNN | 95.32 | 4.68 | 97.12 | 95.28 | 96.19 | 95.38 | 4.72 | 4.62 | 90.16 | 95.33 |
| RFE+GWO+LR | 97.08 | 2.92 | 98.1 | 97.17 | 97.63 | 96.92 | 2.83 | 3.08 | 93.82 | 97.05 |
| RFE+GWO+SVM | 87.72 | 12.28 | 94.79 | 85.05 | 89.66 | 92.19 | 14.95 | 7.81 | 75.32 | 88.62 |
| RFE+GWO+MLP | 98.25 | 1.75 | 98.13 | 99.06 | 98.59 | 96.92 | 0.94 | 3.08 | 96.27 | 97.99 |
| RFE+GWO+RF | 96.49 | 3.51 | 95.41 | 99.05 | 97.2 | 92.42 | 0.95 | 7.58 | 92.63 | 95.74 |
| RFE+GWO+DT | 95.91 | 4.09 | 96.26 | 97.17 | 96.71 | 93.85 | 2.83 | 6.15 | 91.29 | 95.51 |