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. 2022 Jan 14;9:812735. doi: 10.3389/fpubh.2021.812735

Table 4.

Machine learning (ML) classifiers accuracy using count vectorizers.

Model dataset COVIDSenti COVIDSenti_A COVIDSenti_B COVIDSenti_C
Proposed model/Accuracy
Count vectorizer KNN 79.21% 79.65% 77.83% 77.75%
LR 90.03% 87.75% 86.76% 86.04%
Ensemble 88.75% 88.51% 87.08% 86.36%
XGB 89.81% 88.71% 88.03% 87.07%

The bold ones represent better results.