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---
tags:
- text-classification
language:
- unk
datasets:
- Kaludi/BDA594-fake-news-classification
---
# Fake News Classification
This is a Fake News 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.
### Gradio
This model supports a [Gradio](https://github.com/gradio-app/gradio) Web UI to run the BDA594-fake-news-classification model:
[](https://huggingface.co/spaces/Kaludi/BDA594-fake-news-classification_App)
## Validation Metrics
- Loss: 0.064
- Accuracy: 0.992
- Precision: 0.985
- Recall: 1.000
- AUC: 0.992
- F1: 0.992 |