Running The Model

1. Install dependencies

• At a bare minimum, you need to have R installed. Installing RStudio is recommended.
• Must have python3 installed. Install the required packages. Creating a virtual environment is recommended.

pip install -r requirements.txt

2. Download the datasets

In the root directory, run the shell scripts.

./download_kaggle_datasets.sh
./download_torvik_mens_datasets.sh
./download_torvik_womens_datasets.sh

You may need to chmod u+x.

To download the Kaggle datasets, you need to create and add a Kaggle API key to local environment to use the Kaggle CLI. Consult the Kaggle documentation.

3. Open notebook.ipynb in the Jupyter notebok interface and run the first 28 blocks.

4. Then run the R scripts in the following order

   1. M_OLRE.R and W_ORLE.R
   2. M_WinProb.R and W_WinProb.R

This is enough to do interpretation of the model.

5. To generate a csv file to submit to the Kaggle comptition, run the rest of the blocks in notebook.ipynb