---
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:
[![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](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