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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

From: Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data

  Accuracy (Threshold ≥ 2) Precision Recall F1score
SVM 95% 93% 92% 92%
Boosting (Adaboost) 94% 96% 89% 92%
Naive Bayes 93% 90% 98% 92%