Research Article
Multiclass Event Classification from Text
Table 12
Performance measuring parameters for the RNN model.
| Class | Precision | Recall | F1-score | Support |
| 1 | 0.95 | 0.95 | 0.95 | 4604 | 2 | 0.78 | 0.77 | 0.78 | 776 | 3 | 0.70 | 0.72 | 0.71 | 1697 | 4 | 0.78 | 0.64 | 0.70 | 770 | 5 | 0.78 | 0.84 | 0.81 | 8424 | 6 | 0.67 | 0.57 | 0.62 | 2000 | 7 | 1.00 | 1.00 | 1.00 | 817 | 8 | 0.91 | 0.87 | 0.89 | 1839 | 9 | 0.70 | 0.63 | 0.66 | 2524 | 10 | 0.93 | 0.98 | 0.95 | 856 | 11 | 0.86 | 0.94 | 0.90 | 741 | 12 | 0.76 | 0.67 | 0.71 | 943 | Accuracy | ā | ā | 0.81 | 25991 | Macro avg | 0.82 | 0.80 | 0.81 | 25991 | Weighted avg | 0.81 | 0.81 | 0.81 | 25991 |
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