Research Article
An Efficient PCA-GA-HKSVM-Based Disease Diagnostic Assistant
Table 4
Accuracy of PCA-GA-HKSVM vs. single kernel SVMs.
| | Dataset | PCA-GA-HKSVM | RBF | Linear | Polynomial |
| | Respiratory diseases | 96.3547% | 93.81% | 93.05% | 75.13% | | Nephritis | 100% | 98% | 100% | 98% | | Bladder inflammation | 100% | 98% | 100% | 98% | | Breast cancer | 92.98% | 65.54% | 87.61% | 89.11% | | Chronic kidney disease | 93.7500% | 92.21% | 90.63% | 92.74% | | Lymphography | 82.8576% | 69.41% | 79.76% | 79.76% | | Heart disease | 80.49% | 80.49% | 77.64% | 69.414% |
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