| license: apache-2.0 | |
| ### Deprem NER Training Results | |
| Threshold: 0.1 | |
| ``` | |
| precision recall f1-score support | |
| Alakasiz 0.92 0.87 0.89 734 | |
| Barinma 0.87 0.79 0.83 207 | |
| Elektronik 0.72 0.73 0.73 130 | |
| Giysi 0.84 0.66 0.74 94 | |
| Kurtarma 0.84 0.80 0.82 362 | |
| Lojistik 0.75 0.51 0.61 112 | |
| Saglik 0.79 0.80 0.79 108 | |
| Su 0.63 0.47 0.54 78 | |
| Yagma 0.75 0.58 0.65 31 | |
| Yemek 0.80 0.77 0.79 117 | |
| micro avg 0.85 0.78 0.81 1973 | |
| macro avg 0.79 0.70 0.74 1973 | |
| weighted avg 0.84 0.78 0.81 1973 | |
| samples avg 0.84 0.82 0.82 1973 | |
| ``` |