Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Table 10
Performance of hybrid systems on Cleveland dataset.
| Cleveland | | Resampling | Without resampling | Resampling | Without resampling | PSO | GSA | FA | PSO | GSA | FA |
| ā | Basic SVM | Parameter optimized SVM | PAC | 85.14 | 82.83 | 86.79 | 86.13 | 86.13 | 83.49 | 82.83 | 83.49 | Sensitivity | 83.33 | 82.18 | 84.91 | 84.74 | 84.35 | 82.38 | 82.18 | 82.38 | Specificity | 87.80 | 83.72 | 89.51 | 88.09 | 88.70 | 85.03 | 83.72 | 85.03 | F-measure | 85.04 | 82.77 | 86.71 | 86.06 | 86.05 | 83.41 | 82.77 | 83.41 | Recall | 85.14 | 82.83 | 86.79 | 86.13 | 86.13 | 83.49 | 82.83 | 83.49 | Precision | 85.36 | 82.8 | 87.01 | 86.27 | 86.33 | 83.60 | 82.88 | 83.60 | ā | Basic MLP | Parameter optimized MLP | PAC | 93.72 | 79.20 | 94.05 | 94.05 | 94.05 | 85.14 | 84.15 | 85.80 | Sensitivity | 93.45 | 80.23 | 93.49 | 93.49 | 93.49 | 84.79 | 84.11 | 84.57 | Specificity | 94.07 | 77.94 | 94.77 | 94.77 | 94.77 | 85.60 | 84.21 | 87.5 | F-measure | 93.72 | 79.18 | 94.05 | 94.05 | 94.05 | 85.11 | 84.12 | 85.74 | Recall | 93.72 | 79.20 | 94.05 | 94.05 | 94.05 | 85.14 | 84.15 | 85.80 | Precision | 93.73 | 79.18 | 94.07 | 94.07 | 94.07 | 85.16 | 84.16 | 85.91 |
|
|