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--- |
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tags: |
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- text-classification |
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language: |
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- unk |
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datasets: |
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- Kaludi/BDA594-fake-news-classification |
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--- |
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# Fake News Classification |
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This is a Food Category Image Classifier model that has been trained by [Kaludi](https://huggingface.co/Kaludi) to determine the authenticity of news articles. It classifies articles into two categories: **Real** and **Fake**. By analyzing the content and context of a given article, this model can accurately determine whether the news is genuine or fabricated. |
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### Gradio |
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This model supports a [Gradio](https://github.com/gradio-app/gradio) Web UI to run the data-food-classification model: |
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[](https://huggingface.co/spaces/Kaludi/BDA594-fake-news-classification_App) |
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## Validation Metrics |
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- Loss: 0.064 |
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- Accuracy: 0.992 |
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- Precision: 0.985 |
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- Recall: 1.000 |
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- AUC: 0.992 |
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- F1: 0.992 |
