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A comparison of state-of-the-art classifiers using proposed GA controlled feature selection and fusion method
| Classifier | Sensitivity (%) | Precision (%) | Specificity (%) | AUC | Accuracy (%) |
|---|---|---|---|---|---|
| Naive Bayes | 92.5 | 92.5 | 92.0 | 0.99 | 92.6 |
| F-KNN | 92.0 | 92.0 | 91.0 | 0.96 | 92.0 |
| L-SVM | 91.7 | 92.0 | 91.0 | 0.96 | 92.1 |
| EBT | 92.2 | 92.3 | 94.0 | 0.98 | 92.2 |
| F-Tree | 91.5 | 91.5 | 93.0 | 0.98 | 91.6 |
Significant values are shwon in bold
