This repository contains a Jupyter Notebook and associated data that explores using a machine learning model to predict disease between healthy and rheumatoid arthritis patients, and investigate the drivers of prediction in the model
The CTR_XAI.ipynb Jupyter Notebook was created using Anaconda Navigator v 2.3.2, with Jupyter Notebook v 6.4.12, running Python v 3.9.13
If you do not have an instance of Jupyter Notebook and Python, download Anaconda from https://www.anaconda.com/download for your operating system, and follow their instructions to install.
In order to run the notebook you will also need to install the libraries sklearn, xgboost and shap.
To do this use line command in terminal for Mac or Windows Terminal for Windows PC. You can use pip to install the three libraries:
pip install sklearn
pip install xgboost
pip install shap
For more information for installations
https://scikit-learn.org/stable/install.html
https://xgboost.readthedocs.io/en/stable/install.html
https://pypi.org/project/shap/
Download the notebook (CTR_XAI.ipynb) and the data folder and open the notebook in the Jupyter Notebook platform