Table 4.
Performance comparison based on the Wbcd dataset.
| ML method | Accuracy (%) | Sensitivity (%) | Specificity (%) | G-mean (%) | MCC |
|---|---|---|---|---|---|
| QKCLDA | 97.26 | — | — | — | |
| K-SVM | 97.38 | — | — | — | |
| PSO + Boosted c5.0 | 96.38 | 97.70 | 94.28 | — | |
| Aisl | 98.00 | 95.9 | 98.7 | — | |
| PSO-KDE | 98.45 | 100 | 97.99 | — | |
| EC | 96.5 | — | |||
| BBHA | 97.38 | 95.79 | 98.57 | — | |
| EM-PCA-CART-fuzzy | |||||
| Rule-based | 93.2 | — | — | — | |
| FSMLP | 100 | 100 | 100 | 100 | |
| K-Boosted C5.0 | 98.2 | 93.75 | 100 | 96.82 | 95.6 |