Table 3.

Ensemble of machine learning models.

Ensemble	Accuracy	AUC	Recall	Precision	F1 value
RF+CatBoost+XGBoost	0.90	0.87	0.36	0.72	0.47
XGBoost+LR+KNN	0.90	0.84	0.33	0.72	0.43
RF+LR+KNN	0.89	0.86	0.30	0.71	0.39
RF+XGBoost+LR+KNN	0.90	0.86	0.37	0.73	0.46
All	0.90	0.86	0.37	0.73	0.47