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Table 3 Binary classification results.

From: Analysing Twitter and web queries for flu trend prediction

Classifier

F-Measure

Precision

Recall

AUC

Naïve Bayes

0.83

0.78

0.90

0.941

SVM

0.83

0.78

0.88

0.939

Random Forest

0.81

0.76

0.86

0.934

kNN

0.80

0.72

0.92

0.896

Decision Tree

0.75

0.75

0.75

0.780

  1. Classifier results for the reduced set of features (650 features) after feature selection by mutual information