Research Article
Optimization of SVM Parameters with Hybrid CS-PSO Algorithms for Parkinson’s Disease in LabVIEW Environment
| Method | Accuracy (%) | Precision (%) | Recall (%) | F1 measure (%) | FPR | FDR | FNR | NPV | MCC |
| PSO-SVM | 82.05 | 88.89 | 57.14 | 69.57 | 0.04 | 0.1111 | 0.4286 | 0.80 | 0.6051 | CS-SVM | 92.3077 | 83.33 | 90.91 | 86.96 | 0.0714 | 0.1667 | 0.0909 | 0.9630 | 0.8167 | CS-PSO-SVM (Pa = 0.262) | 97.4359 | 100 | 90.91 | 95.24 | 0 | 0 | 0.0909 | 0.9655 | 0.9369 |
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