the-mars-rover / cos_710_assignment_2

Employing genetic programming to produce a classifier for postoperative patient diagnosis.

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About The Project

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This assignment - completed as part of the COS710 (Artificial Intelligence) Honours module at the University of Pretoria - involves employing genetic programming to produce a classifier for postoperative patient diagnosis.

See the following for detailed information about the project:

Built With

Getting Started

To build this project you will need to have Java 1.8 or later installed as well as Apache Maven.

You can ensure that the project compiles by running the following command in the root folder of this project:

mvn clean compile assembly:single

Usage

To reproduce the results mentioned in the report for this assignment, you simply need to run the reproduce.sh from the root folder of this project:

sh results/reproduce.sh

This will reproduce the output for 10 test runs using each of 3 genetic parameter combinations in the results folder.

Roadmap

See the open issues for a list of other proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the Academic Free License. See LICENSE for more information.

Contact

Marcus Bornman - marcusbornman.com - marcus.bornman@gmail.com

Project Link: https://github.com/marcus-bornman/cos_710_assignment_2

Acknowledgements

About

Employing genetic programming to produce a classifier for postoperative patient diagnosis.

License:Academic Free License v3.0


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