Feature Selection

Implemented the Feature Selection Method using Forward Selection and Backward Elimination.

Had heavy inspiration from my classmates & Professor Eamonn Keogh from UCR.

Installation

clone the repo

https://github.com/alexchsieh/Feature-Selection.git

Tools

install pip for pandas

sudo apt install python3-pip

install pandas

pip install pandas

Usage example

run the program

python3 main.py

use a testing data set

./tests/Small_Data.txt

sample forward selection solution

Finished search! The best feature subset is [6, 1], which has an accuracy of 95.0%

sample backward elimination solution

Finished search! The best feature subset to remove is [5, 2, 4, 3], which has an accuracy of 95.0%

Contributing

1. Fork it (https://github.com/alexchsieh/Feature-Selection/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request