Research Article
Multiclass Event Classification from Text
Table 16
Performance measuring parameters for the NB Multinominal model.
| Class | Precision | Recall | F1-score | Support |
| 1 | 0.94 | 0.91 | 0.93 | 5683 | 2 | 0.82 | 0.34 | 0.48 | 956 | 3 | 0.66 | 0.47 | 0.55 | 2121 | 4 | 0.91 | 0.20 | 0.32 | 919 | 5 | 0.56 | 0.95 | 0.70 | 10013 | 6 | 0.70 | 0.22 | 0.34 | 2387 | 7 | 0.98 | 0.95 | 0.97 | 959 | 8 | 0.94 | 0.75 | 0.83 | 2188 | 9 | 0.75 | 0.40 | 0.52 | 3031 | 10 | 0.96 | 0.78 | 0.86 | 998 | 11 | 0.96 | 0.32 | 0.48 | 863 | 12 | 0.84 | 0.25 | 0.39 | 1071 | Accuracy | ā | ā | 0.70 | 31189 | Macro avg | 0.84 | 0.54 | 0.61 | 31189 | Weighted avg | 0.76 | 0.70 | 0. 67 | 31189 |
|
|