What's in this Repo:

To see our final contribution, check out the notebook.ipynb in the repo root.
All source code (and intermediate notebook notations) can be found in the /source directory.

Note:
After the official hackathon deadline, further improvements and documentation have been made to the machine learning code under source/Notebook/.
The file notebook.ipynb at the repository root (qiskit-hackathon-2025/notebook.ipynb) remains unchanged and contains only the results submitted before the official deadline.

The new notebooks at source/Notebook/ containing improvements to the XGBoost multi-label classification pipeline are:

• configuration_prediction_repeated_test_split.ipynb
• configuration_prediction_nested_cross_val.ipynb