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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%