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. 2022 Mar 3;10:853294. doi: 10.3389/fpubh.2022.853294

Table 4.

Performance comparison of different ML models.

Model Accuracy Precision Recall F1-score
Decision tree classifier 80.46% 0.80 0.79 0.78
Random forest classifier 86.92% 0.85 0.81 0.80
Support vector machine 81.67% 0.77 0.70 0.79
XGBoost 85.92% 0.85 0.83 0.85
Voting classifier 85.12% 0.83 0.83 0.85