Research Article
Multiclass Event Classification from Text
Table 11
Performance measuring parameters for the DNN model.
| Class | Precision | Recall | F1-score | Support |
| 1 | 0.96 | 0.95 | 0.96 | 4604 | 2 | 0.91 | 0.91 | 0.91 | 776 | 3 | 0.75 | 0.75 | 0.75 | 1697 | 4 | 0.78 | 0.70 | 0.74 | 770 | 5 | 0.81 | 0.85 | 0.83 | 8424 | 6 | 0.71 | 0.63 | 0.67 | 2000 | 7 | 1.00 | 1.00 | 1.00 | 817 | 8 | 0.92 | 0.90 | 0.91 | 1839 | 9 | 0.70 | 0.70 | 0.71 | 2524 | 10 | 0.95 | 0.99 | 0.97 | 856 | 11 | 0.95 | 0.99 | 0.97 | 741 | 12 | 0.82 | 0.73 | 0.77 | 943 | Accuracy | ā | ā | 0.84 | 25991 | Macro avg | 0.84 | 0.84 | 0.85 | 25991 | Weighted avg | 0.84 | 0.84 | 0.84 | 25991 |
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