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Table 3 Evaluation of the classification models made on the \(D_2\) testset

From: Using social media for sub-event detection during disasters

Algorithms Acc Prec Rec F1
Naïve Bayes 0.753 0.735 0.753 0.739
KNN 0.807 0.803 0.807 0.781
SVM 0.776 0.765 0.776 0.751
Logistic Regr. 0.790 0.773 0.790 0.766
Decision Tree 0.744 0.755 0.744 0.753
Random For. 0.795 0.794 0.790 0.783
XGBoost 0.815 0.812 0.815 0.809
Neural Net. 0.830 0.826 0.864 0.845