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Table 3 The classification metrics for the imbalanced Russian texts

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

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

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