Assessing the Influence Level of Food Safety Public Opinion with Unbalanced Samples Using Ensemble Machine Learning

Table 4

Comparison of oversampling methods.

Model		Evaluation index
		Accuracy	Precision	Recall	F1
NB	Original sample	0.7312	0.7652	0.7312	0.7321
	SMOTE	0.7714	0.7703	0.7714	0.7697
	Replace-filter	0.8052	0.8167	0.8052	0.8030
SVM	Original sample	0.7532	0.7563	0.7532	0.7535
	SMOTE	0.8235	0.8257	0.8235	0.8242
	Replace-filter	0.8064	0.8070	0.8064	0.8063
XGBoost	Original sample	0.7986	0.7992	0.7986	0.7984
	SMOTE	0.8384	0.8389	0.8384	0.8385
	Replace-filter	0.8485	0.8488	0.8485	0.8486
TextCNN	Original sample	0.7782	0.7882	0.7782	0.7806
	SMOTE	0.8153	0.8171	0.8153	0.8157
	Replace-filter	0.8375	0.8375	0.8375	0.8372
LSTM	Original sample	0.7845	0.7852	0.7845	0.7848
	SMOTE	0.8054	0.8080	0.8054	0.8054
	Replace-filter	0.8332	0.8339	0.8332	0.8331