Beau/public_code_thesis_beau_rule_learning_ontology_guidance
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Beau c817872191 Document supplementary diagnostics script and tidy repo 
- Rename diagnostics_extreme_and_combined.py to supplementary_diagnostics.py
- Reframe its docstring as supplementary analysis referenced in the Discussion
- Add README pointer to it
- Remove stale results/rule_dynamics/discussion_draft.md

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-24 12:54:20 +02:00

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README

Reference code for the ontology-guided RIPPER experiments. It runs entirely from the bundled Excel dataset (excels/non_dummy_columns_df_less_classes.xlsx) — no database connection is needed.

How to run

Activate a python env and install deps

python -m venv .venv (I used python version 3.13.3) source ./.venv/Scripts/activate pip install -r requirements.txt

Run all experiments

python run_all_experiments.py or when wanting to re run everything from scratch python run_all_experiments.py --start-fresh

(The Weka JRip baseline additionally needs a Java runtime; it is skipped automatically if java/weka.jar are unavailable.)

Further info

  • ./results holds all saved data behind the figures, including the learned rules.
  • the results that were used are in the subfolder /pooled (pooled over the 5 folds).
  • supplementary_diagnostics.py reproduces the secondary analyses referenced in the Discussion (extreme-lambda behaviour and the combined grow+prune+MDL variant). These are exploratory, single-repeat checks and are not part of the primary study.