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Source code for "(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification", accepted at IJCNN 2025.

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Experiments

To run Hyperparameter Tuning L0 experiments, follow the next steps:

  1. Install requirements
pip install -r requirements_versions_py_3_11.txt
  1. Set up Wandb API KEY
export WANDB_API_KEY=<Your API KEY>
  1. Run hyperparameter tuning script
python3 experiments_l0_hyperparameter_tuning.py -p <dataset name>-ht -ht -ns <num of experiments> -d <dataset name> -k <num of k folds cross-validation> -e 400 -bs 128 --group_l0 --beta_ema 0.999

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Source code for "(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification", accepted at IJCNN 2025.

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  • Jupyter Notebook 81.4%
  • Python 18.6%