Research Article
Prediction of Breast Cancer from Imbalance Respect Using Cluster-Based Undersampling Method
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 |
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