Table 3.

The classification metrics for the imbalanced Russian texts

Classifier	NB	SVM	LR	k-NN	DT	RF	XGBoost	Average
Accuracy	0.75	0.74	0.80	0.76	0.73	0.81	0.76	0.76
Precision-macro	0.80	0.25	0.78	0.62	0.58	0.79	0.72	0.65
Precision-micro	0.75	0.74	0.80	0.76	0.73	0.81	0.76	0.76
Precision-weighted	0.76	0.54	0.79	0.74	0.79	0.81	0.73	0.74
Recall-macro	0.39	0.33	0.52	0.44	0.60	0.57	0.42	0.47
Recall-micro	0.75	0.74	0.80	0.76	0.73	0.81	0.76	0.76
Recall-weighted	0.75	0.74	0.80	0.76	0.73	0.81	0.76	0.76
F1-score-macro	0.38	0.28	0.57	0.46	0.54	0.63	0.45	0.47
F1-score-micro	0.75	0.74	0.80	0.76	0.73	0.81	0.76	0.76
F1-score-weighted	0.67	0.63	0.78	0.70	0.75	0.79	0.70	0.72
Average	0.68	0.57	0.74	0.68	0.69	0.76	0.68