Eval Results

                  precision    recall  f1-score   support

        Lojistik       0.81      0.79      0.80        38
Elektrik Kaynagi       0.73      0.91      0.81        56
  Arama Ekipmani       0.79      0.74      0.76       128
          Cenaze       1.00      0.50      0.67         2
           Giysi       0.82      0.96      0.89       138
  Enkaz Kaldirma       0.94      0.94      0.94       919
          Isinma       0.84      0.89      0.86       185
         Barınma       0.96      0.96      0.96       483
         Tuvalet       0.67      0.80      0.73        10
              Su       0.83      0.87      0.85        67
           Yemek       0.89      0.96      0.92       202
          Saglik       0.80      0.88      0.83       104
        Alakasiz       0.90      0.82      0.86       377

       micro avg       0.89      0.91      0.90      2709
       macro avg       0.84      0.85      0.84      2709
    weighted avg       0.90      0.91      0.90      2709
     samples avg       0.91      0.92      0.91      2709

Threshold:

  • Best Threshold: 0.53

Class Loss Weights

    [3.017203135650159,
     2.4823691788825464,
     1.941736822154725,
     6.172646581418988,
     1.8759436445637834,
     1.0,
     1.75011143349181,
     1.2730236191357969,
     4.849237178079731,
     2.4857419672410703,
     1.6324480531290084,
     2.0033774839735035,
     1.3688883733394182]
Downloads last month
13
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results