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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