Table 6 Accuracy, precision, recall and F1score with the dataset resulting from the feature selection method committee using the SVM, Boosting (Adaboost) and Naive Bayes classifiers
|  | Accuracy (Threshold ≥ 2) | Precision | Recall | F1score |
|---|---|---|---|---|
SVM | 95% | 93% | 92% | 92% |
Boosting (Adaboost) | 94% | 96% | 89% | 92% |
Naive Bayes | 93% | 90% | 98% | 92% |