Research Article
Multiclass Event Classification from Text
Table 14
Performance measuring parameters for the KNN model.
| Class | Precision | Recall | F1-score | Support |
| 1 | 0.91 | 0.93 | 0.92 | 5661 | 2 | 0.62 | 0.83 | 0.71 | 967 | 3 | 0.67 | 0.71 | 0.69 | 2115 | 4 | 0.64 | 0.60 | 0.62 | 878 | 5 | 0.78 | 0.82 | 0.80 | 10030 | 6 | 0.66 | 0.50 | 0.57 | 2293 | 7 | 0.93 | 1.00 | 0.96 | 970 | 8 | 0.91 | 0.80 | 0.85 | 2259 | 9 | 0.71 | 0.62 | 0.66 | 3044 | 10 | 0.85 | 0.93 | 0.89 | 1031 | 11 | 0.72 | 0.85 | 0.78 | 889 | 12 | 0.75 | 0.61 | 0.67 | 1052 | Accuracy | ā | ā | 0.78 | 31189 | Macro avg | 0.76 | 0.77 | 0.76 | 31189 | Weighted avg | 0.78 | 0.78 | 0. 78 | 31189 |
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