Table 2.

Average performance of ML models.

	Precision	Recall	F-Measure	AUC	Accuracy
NB	0.812	0.860	0.835	0.867	0.84
LR	0.791	0.791	0.791	0.877	0.79
3-NN	0.918	0.916	0.915	0.943	0.81
SGD	0.791	0.791	0.791	0.791	0.88
DT(J48)	0.909	0.909	0.909	0.927	0.91
MLP	0.884	0.881	0.881	0.929	0.92
MVoting	0.93	0.93	0.93	0.93	0.93
RF	0.966	0.966	0.966	0.986	0.97
Stacking	0.974	0.974	0.974	0.989	0.98