https://github.com/siddeshwarnavink/spam-message-ml
Implementing Logistic Regression From Scratch for Spam Detection.
https://github.com/siddeshwarnavink/spam-message-ml
logistic-regression meachine-learning
Last synced: 22 days ago
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Implementing Logistic Regression From Scratch for Spam Detection.
- Host: GitHub
- URL: https://github.com/siddeshwarnavink/spam-message-ml
- Owner: siddeshwarnavink
- Created: 2025-04-13T02:48:02.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2025-04-26T14:20:28.000Z (about 1 month ago)
- Last Synced: 2025-05-12T23:44:48.572Z (22 days ago)
- Topics: logistic-regression, meachine-learning
- Language: C++
- Homepage:
- Size: 67.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.txt
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README
Spam Message Detection
=========
Implementing Logistic Regression From Scratch for Spam Detection.
Model Output
========
Precision: 87.20%
Recall: 80.09%
F1-Score: 83.49%
Model saved to model.bin
Dataset
=========
The following datasets are require for this program to work.
- `dataset/spam.csv`: https://www.kaggle.com/datasets/team-ai/spam-text-message-classification
- `dataset/stop-words.txt`: https://gist.github.com/sebleier/554280