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

Journal of Big Data

Table 4 The classification metrics for the imbalanced Kazakh texts

Classifier	NB	SVM	LR	k-NN	DT	RF	XGBoost	Average
Accuracy	0.89	0.89	0.89	0.89	0.87	0.91	0.89	0.89
Precision-macro	0.43	0.30	0.67	0.59	0.61	0.83	0.75	0.60
Precision-micro	0.89	0.89	0.89	0.89	0.87	0.91	0.89	0.89
Precision-weighted	0.82	0.79	0.87	0.87	0.90	0.91	0.88	0.86
Recall-macro	0.33	0.33	0.37	0.47	0.61	0.50	0.37	0.43
Recall-micro	0.89	0.89	0.89	0.89	0.87	0.91	0.89	0.89
Recall-weighted	0.89	0.89	0.89	0.89	0.87	0.91	0.89	0.89
F1-score-macro	0.32	0.31	0.38	0.50	0.57	0.57	0.38	0.43
F1-score-micro	0.89	0.89	0.89	0.89	0.87	0.91	0.89	0.89
F1-score-weighted	0.83	0.83	0.85	0.87	0.88	0.89	0.85	0.86
Average	0.72	0.70	0.76	0.78	0.79	0.83	0.77