Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Table 20
Performance of hybrid systems on WBC dataset.
| Breast cancer | | Resampling | Without resampling | Resampling | Without resampling | PSO | GSA | FA | PSO | GSA | FA |
| ā | Basic SVM | Parameter optimized SVM | PAC | 96.14 | 96.85 | 97.00 | 97.00 | 97.00 | 97.00 | 96.85 | 96.85 | Sensitivity | 92.59 | 94.69 | 92.43 | 92.43 | 92.43 | 95.08 | 94.69 | 94.69 | Specificity | 98.03 | 98.02 | 99.55 | 99.55 | 99.55 | 98.02 | 98.02 | 98.02 | F-measure | 96.15 | 96.86 | 97.02 | 97.02 | 97.02 | 97.00 | 96.86 | 96.86 | Recall | 96.14 | 96.85 | 97.00 | 97.00 | 97.00 | 97.00 | 96.85 | 96.85 | Precision | 96.21 | 96.87 | 97.17 | 97.17 | 97.17 | 97.01 | 96.87 | 96.87 | ā | Basic MLP | Parameter optimized MLP | PAC | 97.14 | 95.28 | 98.00 | 97.71 | 98.00 | 96.57 | 97.00 | 96.42 | Sensitivity | 95.34 | 92.62 | 96.61 | 96.58 | 96.61 | 93.93 | 94.35 | 93.55 | Specificity | 98.06 | 96.70 | 98.70 | 98.28 | 98.70 | 98.01 | 98.45 | 98.00 | F-measure | 97.14 | 95.29 | 98.00 | 97.71 | 98.00 | 96.58 | 97.01 | 96.44 | Recall | 97.14 | 95.28 | 98.00 | 97.71 | 98.00 | 96.57 | 97.00 | 96.42 | Precision | 97.15 | 95.30 | 98.00 | 97.71 | 98.00 | 96.60 | 97.04 | 96.47 |
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