Published September 7, 2021
| Version v2021.09.07
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HMProenca/robust-rules-for-prediction-and-description
Description
Robust rules for prediction and description
This repository contains the code for the experiments of the PhD dissertation Robust rules for prediction and description at the time of publication.
The content of these folders is the following:
- rule-lists-python-package - contains the python package that powers all the experiments, which can be found at (https://github.com/HMProenca/RuleList)
- chapter-4-predictive-rule-lists-experiments - contains all the experiments relating to chapter 4 (predictive rules lists) of the dissertation, also at (https://github.com/HMProenca/MDLRuleLists)
- chapter-5-subgroup-lists-experiments - contains all the experiments relating to chapter 5 (subgroup lists) of the dissertation, also at (https://github.com/HMProenca/RobustSubgroupDiscovery)
Licenses
Please refer to each folder and algorithm for their specific licenses.
References in which this work is based upon
- Interpretable multiclass classification by MDL-based rule lists. Hugo M. Proença, Matthijs van Leeuwen. Information Sciences 512 (2020): 1372-1393. or publicly available in ArXiv -- experiments code (old version) available here
- Discovering outstanding subgroup lists for numeric targets using MDL. Hugo M. Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen. ECML-PKDD(2020): -- experiments code available here
- Robust subgroup discovery. Hugo M. Proença,Thomas Bäck, Matthijs van Leeuwen. (2021) -- experiments code available here
- Identifying flight delay patterns using diverse subgroup discovery. Hugo M. Proença,Thomas Bäck, Matthijs van Leeuwen. In IEEE SSCI(2018)
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HMProenca/robust-rules-for-prediction-and-description-v2021.09.07.zip
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Additional details
Related works
- Is supplement to
- https://github.com/HMProenca/robust-rules-for-prediction-and-description/tree/v2021.09.07 (URL)
References
- Proença, Hugo M., and Matthijs van Leeuwen. "Interpretable multiclass classification by MDL-based rule lists." Information Sciences 512 (2020): 1372-1393.
- Proença, Hugo M., Peter D. Grünwald, et al. (2020). "Discovering outstanding subgroup lists for numeric targets using MDL". In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD'20
- Proença, Hugo M., Thomas Bäck, and Matthijs van Leeuwen. "Robust subgroup discovery." arXiv preprint arXiv:2103.13686 (2021).
- Proença, Hugo M., et al. "Identifying flight delay patterns using diverse subgroup discovery." 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2018.