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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