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@@ -49,6 +49,8 @@ Each model is trained on domain-specific datasets and is integrated into a modul
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  - **F1 Score (Weighted)**: The weighted F1 score that considers the imbalance of class sizes.
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  - **Accuracy**: The overall classification accuracy of the model.
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  > **DPR Team**, 2025
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  >
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  > Made as part of [Arnes Hackathon 2025](https://hackathon.si/).
 
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  - **F1 Score (Weighted)**: The weighted F1 score that considers the imbalance of class sizes.
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  - **Accuracy**: The overall classification accuracy of the model.
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+ More information on the model details can be found in `model_config.json`.
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  > **DPR Team**, 2025
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  >
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  > Made as part of [Arnes Hackathon 2025](https://hackathon.si/).