Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Table 22
Performance of hybrid systems on hepatitis dataset.
| Hepatitis | | Resampling | Without resampling | Resampling | Without resampling | PSO | GSA | FA | PSO | GSA | FA |
| ā | Basic SVM | Parameter optimized SVM | PAC | 89.03 | 85.16 | 89.68 | 89.68 | 89.68 | 87.10 | 87.10 | 87.10 | Sensitivity | 73.91 | 65.52 | 80.00 | 80.00 | 80.00 | 73.08 | 73.08 | 73.08 | Specificity | 91.67 | 89.68 | 91.11 | 91.11 | 91.11 | 89.92 | 89.92 | 89.92 | F-measure | 88.60 | 84.89 | 88.97 | 88.97 | 88.97 | 86.58 | 86.58 | 86.58 | Recall | 89.03 | 85.16 | 89.68 | 89.68 | 89.68 | 87.10 | 87.10 | 87.10 | Precision | 88.46 | 84.69 | 89.10 | 89.10 | 89.10 | 86.44 | 86.44 | 86.44 | ā | Basic MLP | Parameter optimized MLP | PAC | 90.32 | 81.94 | 92.26 | 92.26 | 92.26 | 87.10 | 85.16 | 83.23 | Sensitivity | 72.41 | 56.67 | 80.77 | 80.77 | 80.77 | 71.43 | 71.43 | 59.38 | Specificity | 94.44 | 88.00 | 94.57 | 94.57 | 94.57 | 90.55 | 87.31 | 89.43 | F-measure | 90.39 | 81.72 | 92.14 | 92.14 | 92.14 | 86.77 | 83.94 | 83.23 | Recall | 90.32 | 81.94 | 92.26 | 92.26 | 92.26 | 87.10 | 85.16 | 83.23 | Precision | 90.46 | 81.53 | 92.08 | 92.08 | 92.08 | 86.60 | 84.03 | 83.23 |
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