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 the powers all the experiments, which 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)
- robust-rules-for-prediction-and-description.pdf - contains an early version of the PhD dissertation.
Please refer to each folder and algorithm for their specific licenses.
If there are any questions or issues, please contact me by mail at [email protected] or open an issue here on Github.
- 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)