Research Article
Machine Learning-Based Jamming Detection for Safety Applications in Vehicular Networks: Individual Detection?
Table 6
Performance comparison: SVM, Adaboost models, and TVT method.
| ā | Accuracy | Recall | Precision | Specificity | B |
| SVM1 | 0.054 | 1 | 0.054 | 0 | 0.351 | Adaboost1 | 0.279 | 0.981 | 0.069 | 0.238 | 0.429 | SVM2 | 0.843 | 1 | 0.258 | 0.834 | 0.697 | Adaboost2 | 0.836 | 0.956 | 0.243 | 0.829 | 0.676 | SVM3 | 0.69 | 1 | 0.149 | 0.671 | 0.607 | Adaboost3 | 0.822 | 0.986 | 0.232 | 0.812 | 0.677 | TVT | 0.566 | 0.962 | 0.107 | 0.543 | 0.537 |
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