Table 4.

Performance of the individual methods on the training and testing subsets.

Method	Subset	Accuracy	Precision	Recall	F1-Score
ANN	Train	0.926	0.898	0.926	0.911
	Test	0.893	0.850	0.893	0.868
CatBoost	Train	0.907	0.873	0.907	0.889
	Test	0.872	0.806	0.872	0.836
KNN	Train	0.997	0.998	0.997	0.997
	Test	0.906	0.891	0.906	0.894
SVM	Train	0.983	0.981	0.983	0.981
	Test	0.906	0.882	0.906	0.892
RF	Train	0.909	0.886	0.908	0.896
	Test	0.880	0.828	0.880	0.850