Table 4.

Results for trained models using decision tree-based algorithms

Algorithm	Class 0 (Staying)		Class 1 (Drops out)		GM Score	F1 score	Training time (s)
	Recall	Precision	Recall	Precision
Decision Tree classifier	0.7995	0.9959	0.8112	0.0654	0.8053	0.1210	70.70
XGBoost	0.9391	0.9967	0.8201	0.1888	0.8776	0.3069	284.82
LightGBM	0.9317	0.9970	0.8397	0.1754	0.8845	0.2902	67.18
CatBoost	0.9211	0.9972	0.8488	0.1569	0.8842	0.2645	407.24