Table 3

- Predictive models performance.

Models	Accuracy	Precision	Recall	F1 Score	AUC ROC
Random Forest	0.725	0.704	0.775	0.738	0.725
XGBoost	0.721	0.700	0.775	0.735	0.721
Neural Network	0.717	0.688	0.794	0.738	0.717
Logistic Regression	0.706	0.699	0.724	0.711	0.706
KNN	0.690	0.682	0.713	0.697	0.690