https://github.com/bgmp/svm

Support Vector Machine implementation written in Python
https://github.com/bgmp/svm

iris-dataset scikit-learn svm

Last synced: 3 days ago
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Support Vector Machine implementation written in Python

• Host: GitHub
• URL: https://github.com/bgmp/svm
• Owner: BGMP
• Created: 2024-10-12T01:42:32.000Z (3 months ago)
• Default Branch: master
• Last Pushed: 2024-10-12T01:50:23.000Z (3 months ago)
• Last Synced: 2025-01-07T15:10:38.938Z (8 days ago)
• Topics: iris-dataset, scikit-learn, svm
• Language: TeX
• Homepage:
• Size: 221 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
SVM

===

A really simple implementation of the Support Vector Machine (SVM) algorithm, which is an effective tool for solving

classification and regression problems in machine learning.

## Running

To run the program, first install the dependencies:

```bash

pip install -r requirements.txt

```

Then run the main script:

```bash

python main.py

```

## Results

The program will output the accuracy of the model, as well as a scatter plot of the data points and the decision

boundary.

![image](plots/svm_decision_boundary_20241011_222144.png)

## Dependencies

### Python

- [Python 3.8 or above](https://www.python.org/downloads/)

- Python modules:

  - numpy

  - pandas

  - scikit-learn

  - matplotlib

- I suggest using venv & pip for development & dependency management. (In case of Apple Silicon use conda)

## Notes

This project was written as part of the Masters in Computer Science course "Advanced Topics on Databases" at the

University of the Bío-Bío.