|
--- |
|
license: apache-2.0 |
|
--- |
|
### Deprem NER Training Results |
|
|
|
Threshold: 0.2 |
|
|
|
``` |
|
precision recall f1-score support |
|
|
|
Alakasiz 0.92 0.84 0.88 734 |
|
Barinma 0.91 0.76 0.83 207 |
|
Elektronik 0.74 0.73 0.73 130 |
|
Giysi 0.84 0.49 0.62 94 |
|
Kurtarma 0.85 0.80 0.82 362 |
|
Lojistik 0.85 0.46 0.59 112 |
|
Saglik 0.78 0.69 0.74 108 |
|
Su 0.72 0.42 0.53 78 |
|
Yagma 0.68 0.42 0.52 31 |
|
Yemek 0.81 0.72 0.76 117 |
|
|
|
micro avg 0.86 0.74 0.80 1973 |
|
macro avg 0.81 0.63 0.70 1973 |
|
weighted avg 0.86 0.74 0.79 1973 |
|
samples avg 0.82 0.78 0.79 1973 |
|
``` |
