If you want to use our proposed method MGS, please use the following updated repository : https://github.com/artefactory/mgs-grf

Repository for Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants paper.

In praticular, you will find code to reproduce the paper experiments.

⭐ Table of Contents

• Getting Started
• Data sets
• Acknowledgements

⭐ Getting Started

If you want to reproduce our paper experiments:

• the notebooks here and here reproduce the experiments
• thise code contains implementation the protocols used for the numerical experiments of our article.

In order to use our MGS strategy:

• this notebook illustrates how to use it
• the strategy is implemented here

⭐ Data sets

The data sets of used for our article should be dowloaded inside the data/externals folder. The data sets are available at the followings adresses :

• Pima
• Phoneme : https://github.com/jbrownlee/Datasets/blob/master/phoneme.csv
• Abalone : https://archive.ics.uci.edu/dataset/1/abalone
• Wine : https://archive.ics.uci.edu/dataset/186/wine+quality
• Haberman : https://archive.ics.uci.edu/dataset/43/haberman+s+survival
• Yeast : https://archive.ics.uci.edu/dataset/110/yeast
• Vehicle : https://archive.ics.uci.edu/dataset/149/statlog+vehicle+silhouettes
• Ionosphere : https://archive.ics.uci.edu/dataset/52/ionosphere
• Breast cancer Wisconsin : https://archive.ics.uci.edu/dataset/15/breast+cancer+wisconsin+original
• CreditCard : https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
• MagicTel : https://www.openml.org/d/44125
• California : https://www.openml.org/d/44090
• House_16H : https://openml.org/d/821

⭐ Acknowledgements

This work was done through a partenership between Artefact Research Center and the Laboratoire de Probabilités Statistiques et Modélisation (LPSM) of Sorbonne University.

   

If you find the code usefull, please consider citing us :

@article{sakho2024we,
  title={Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants},
  author={Sakho, Abdoulaye and Malherbe, Emmanuel and Scornet, Erwan},
  journal={arXiv preprint arXiv:2402.03819},
  year={2024}
}