Table 3.

Evaluation metrics for each classifier model.

Classifiers	Precision	Recall	F1-Score
KNN	55%	55%	55%
Decision tree	61%	59%	59%
Logistic Regression	73%	72%	71%
Random Forest	80%	79%	79%
CatBoost	88%	83%	82%