On the development of an information system for monitoring user opinion and its role for the public

Journal of Big Data

Table 7 The classification metrics for the SMOTE Russian texts

Classifier	NB	SVM	LR	k-NN	DT	RF	XGBoost	Average
Accuracy	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
Precision-macro	0.71	0.63	0.85	0.79	0.84	0.91	0.68	0.77
Precision-micro	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
Precision-weighted	0.71	0.63	0.85	0.79	0.84	0.91	0.68	0.77
Recall-macro	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
Recall-micro	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
Recall-weighted	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
F1-score-macro	0.67	0.63	0.85	0.65	0.82	0.91	0.68	0.74
F1-score-micro	0.67	0.64	0.85	0.69	0.83	0.91	0.69	0.75
F1-score-weighted	0.67	0.63	0.85	0.65	0.82	0.91	0.68	0.74
Average	0.68	0.64	0.85	0.70	0.83	0.91	0.69