Table 3 Model performance comparison before SMOTE.

Model	Accuracy	Precision	Recall	F1 Score	ROC AUC
Random Forest	0.77	0.81	0.75	0.78	0.86
XGBoost	0.76	0.78	0.78	0.78	0.85
LightGBM	0.77	0.77	0.82	0.79	0.85
KNN	0.71	0.85	0.55	0.67	0.82
Gradient Boosting	0.76	0.75	0.82	0.78	0.81
Neural Network	0.7	0.74	0.69	0.71	0.74
SVM	0.68	0.73	0.64	0.68	0.73
Logistic Regression	0.64	0.68	0.61	0.64	0.67
Naive Bayes	0.63	0.67	0.61	0.64	0.67
Decision Tree	0.66	0.71	0.62	0.66	0.66

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