Research Article
PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses
Table 3
Comparison of models.
| | Dataset | Algorithm | Forecasting accuracy total in training set | Forecasting accuracy total in test set | Precision | Recall | -measure |
| Heart disease
dataset | GA-SVM | 85.7895% | 80% | 76.09% | 87.50% | 81.40% | | PSO-SVM | 86% | 80% | 76.09% | 87.50% | 81.40% | | CS-PSO-SVM | 100% | 85% | 81.82% | 90.00% | 85.71% |
| Breast cancer
dataset | GA-SVM | 99.8179% | 90.0% | 92.08% | 62.00% | 74.10% | | PSO-SVM | 97.4499% | 90.0% | 88.99% | 64.67% | 74.90% | | CS-PSO-SVM | 98.3607% | 91.3333% | 91.43% | 64.00% | 75.29% |
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