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A prototype Python script for classification model algorithm

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How To Get Good

This is an early class project of mine from university. The project builds a decision tree to make predictions on a given CSV dataset.

Legacy Problems

Being that this project is for learning purposes, it is less than perfect. It's been a while since I executed this script and unfortunately, it suffers infinite recursion that I do not recall being present when I presented the project. This bug causes a stack overflow error. You can try running the script, but for now, it's better to just examine the code to see how the decision tree is built and executed. Once I have some time, I will update this project to be more efficient and to remove the bugs.

How To Use

Using a terminal,

  1. Download the project into a directory of your choice

    • git clone https://github.com/JeffMII/How-To-Get-Good.git
  2. Open the cloned project's root directory and create an input subdirectory:

    • mkdir input
  3. Download the dataset into the subdirectory (or use your own)

  4. Back inside the project's root directory, run the python script

    • python3 how-to-get-good.py
  5. Follow the prompts in the terminal.

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A prototype Python script for classification model algorithm

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