# Neuro-Symbolic rule list
This is the supplementary code for the paper "Neuro-Symbolic rule list". We provide the code
that is required to reproduce the results form the paper. We also include the code from our
competitors. The data has to be downloaded seperately to the folder ../data. Some datasets
are downloaded automatically. To run the experiments use the script `run_real_world.sh`,
and provide the name of the method you want to run. The script will run the method on every
dataset and safe the results into a .csv file. Depending on your python installation
you will need to install imodels, pmlb and scikit-learn=0.23.2.

We provide all NyRules rule lists in textual form for [10,15,20,25,30] rules in the "rules/" folder.

## License 
<p xmlns:cc="http://creativecommons.org/ns#" >This work is licensed under <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY-NC-SA 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg?ref=chooser-v1" alt=""></a></p>