https://github.com/rahulb813/veracious-prophecy

A logistic regression based ML model trained with a dataset of 20000+ values for prediction of real v/s fake news.
https://github.com/rahulb813/veracious-prophecy

google-colab ipynb kaggle-dataset logistic-regression python3

Last synced: 5 days ago
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A logistic regression based ML model trained with a dataset of 20000+ values for prediction of real v/s fake news.

• Host: GitHub
• URL: https://github.com/rahulb813/veracious-prophecy
• Owner: rahulb813
• License: apache-2.0
• Created: 2023-08-29T05:06:15.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-18T20:09:47.000Z (almost 1 year ago)
• Last Synced: 2024-10-12T15:41:02.891Z (about 1 month ago)
• Topics: google-colab, ipynb, kaggle-dataset, logistic-regression, python3
• Language: Jupyter Notebook
• Homepage: https://drive.google.com/drive/folders/1Dc3zftve6CMrDUYRBGGlmaVQ3w-pfdku?usp=sharing
• Size: 35.8 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Veracious Prophecy

## Introduction

- A logistic regression based ML model that's trained with a dataset with 20k+ values.

- Predicts real v/s fake news based on text stemming.

## Intuition

The use of logistic regression is done because the final output predicted by this model 

is supposed to be a binary value which results that the news/article is real or fake.

Refer [here](https://www.geeksforgeeks.org/understanding-logistic-regression/) for further details.

## Technologies Used

- Python

- sklearn

- numpy

- PorterStemmer

## Dataset

A single [`train.csv`](https://www.kaggle.com/c/fake-news/data) dataset obtained from [Kaggle](https://wwww.kaggle.com) is split into 80%-20%

for training and testing the model.

## Testing

The model is trained with 80% and tested with 20% of the [`train.csv`](https://www.kaggle.com/c/fake-news/data) dataset and the accuracy of the model was 96% and 94% respectively.

## Deployment

A live version of the [`main.ipynb`](https://github.com/rahulb813/veracious-prophecy/blob/main/main.ipynb) is uploaded at [Google Drive](https://drive.google.com/drive/folders/1Dc3zftve6CMrDUYRBGGlmaVQ3w-pfdku?usp=sharing).