https://github.com/iotarepeat/sms-spam-detector

A machine learning model created to fight sms spam uses Naive Bayes classifier
https://github.com/iotarepeat/sms-spam-detector

machine-learning naive-bayes-implementation standard-library

Last synced: 3 months ago
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A machine learning model created to fight sms spam uses Naive Bayes classifier

• Host: GitHub
• URL: https://github.com/iotarepeat/sms-spam-detector
• Owner: iotarepeat
• Created: 2019-06-06T09:10:32.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-06-13T11:57:53.000Z (over 5 years ago)
• Last Synced: 2024-05-27T12:08:32.617Z (6 months ago)
• Topics: machine-learning, naive-bayes-implementation, standard-library
• Language: Python
• Homepage:
• Size: 311 KB
• Stars: 1
• Watchers: 0
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Training

- Run train.py to generate required files for prediction

- It will print the accuracy, at time of writing accuracy was 97%

## Usage

- Run main.py and enter your message

- It will print whether the message is spam/ham

## Credits

- SMSSpamCollection dataset - https://archive.ics.uci.edu/ml/datasets/sms+spam+collection

- Stopwords - https://github.com/stopwords-iso/stopwords-en