Fake News Classification

This is a Fake News Classifier model that has been trained by 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 Web UI to run the BDA594-fake-news-classification model:

Validation Metrics

• Loss: 0.064
• Accuracy: 0.992
• Precision: 0.985
• Recall: 1.000
• AUC: 0.992
• F1: 0.992