Product Processing Quality Classification Model for Small-Sample and Imbalanced Data Environment

Table 7

Performance metrics based on balanced data (different data process models).

Data process models	Models	Accuracy	Precision	Recall	F1
SMOTE	DT	0.823	0.941	0.855	0.896
	RF	0.911	0.939	0.964	0.951
	MLP	0.806	0.907	0.871	0.889
	XGBoost	0.838	0.943	0.871	0.906
MSMOTE	DT	0.823	0.941	0.855	0.896
	RF	0.911	0.939	0.964	0.951
	MLP	0.806	0.907	0.871	0.889
	XGBoost	0.838	0.943	0.871	0.906
MSMOTE-GAN	DT	0.897	0.950	0.934	0.942
	RF	0.944	0.952	0.987	0.969
	MLP	0.876	0.964	0.894	0.928
	XGBoost	0.941	0.949	0.986	0.968