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

Journal of Big Data

Table 6 The classification metrics for the oversampled Kazakh texts

Classifier	NB	SVM	LR	k-NN	DT	RF	XGBoost	Average
Accuracy	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
Precision-macro	0.85	0.59	0.93	0.94	0.96	0.99	0.73	0.86
Precision-micro	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
Precision-weighted	0.84	0.59	0.93	0.94	0.96	0.99	0.73	0.85
Recall-macro	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
Recall-micro	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
Recall-weighted	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
F1-score-macro	0.84	0.55	0.93	0.93	0.96	0.99	0.73	0.85
F1-score-micro	0.84	0.59	0.93	0.93	0.96	0.99	0.73	0.85
F1-score-weighted	0.84	0.54	0.93	0.93	0.96	0.99	0.73	0.85
Average	0.84	0.58	0.93	0.93	0.96	0.99	0.73