Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Table 9
Performance metric values on all datasets with and without resampling.
| Dataset name | Without resampling | Resampling | Dataset name | Without resampling | Resampling | GD | SP | GD | SP | GD | SP | GD | SP |
| Cleveland | 0.21 | 0.8 | 0.19 | 0.9 | WBC | 0.39 | 1.25 | 0.25 | 2.21 | Statlog | 0.39 | 1.02 | 0.16 | 1.91 | Hepatitis | 0.24 | 3.21 | 0.27 | 1.29 | Spect | 0.11 | 1.87 | 0.14 | 1.23 | Thyroid | 0.1 | 1.34 | 0.26 | 1.76 | Spectf | 0.18 | 1.98 | 0.12 | 1.2 | Parkinson | 0.22 | 1.8 | 0.18 | 2.92 | Eric | 0.29 | 2.02 | 0.13 | 1.92 | Pima Indian diabetics | 0.2 | 0.98 | 0.13 | 1.05 | | | | | | BUPA | 0.18 | 2.2 | 0.14 | 1.9 |
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