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Table 2 Accuracy, precision, recall and F1score of the initial full set with all features 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 Precision Recall F1score
SVM 90% 85% 91% 87%
Boosting (Adaboost) 93% 100% 89% 93%
Naive Bayes 67% 66% 76% 69%