GitHub - calathea21/IFAC: Interpretable Fair Abstaining Classifier

Implementations for Paper: Interpretable and Fair Mechanisms for Abstaining Classifiers

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
income_prediction		income_prediction
recidivism_prediction		recidivism_prediction
Appendix IFAC.pdf		Appendix IFAC.pdf
Dataset.py		Dataset.py
IFAC Full Paper.pdf		IFAC Full Paper.pdf
PD_itemset.py		PD_itemset.py
README.md		README.md
Rejects.py		Rejects.py
Rule.py		Rule.py
SelectiveClassifier_IFAC.py		SelectiveClassifier_IFAC.py
SelectiveClassifier_UBAC.py		SelectiveClassifier_UBAC.py
SituationTesting.py		SituationTesting.py
association_rule_extraction_for_fairness.py		association_rule_extraction_for_fairness.py
black_box_classifier_with_rule_based_rejector.py		black_box_classifier_with_rule_based_rejector.py
comparative_experiments.py		comparative_experiments.py
decide_on_probability_threshold.py		decide_on_probability_threshold.py
income_performance_diff_coverage.xlsx		income_performance_diff_coverage.xlsx
income_sample.csv		income_sample.csv
load_and_preprocess_criminal_risk.py		load_and_preprocess_criminal_risk.py
load_and_preprocess_folktables.py		load_and_preprocess_folktables.py
main.py		main.py
performance_and_fairness_calculations.py		performance_and_fairness_calculations.py
recidivism_performance_diff_coverage.xlsx		recidivism_performance_diff_coverage.xlsx
rule_helper_functions.py		rule_helper_functions.py
run_experiments_on_dataset.py		run_experiments_on_dataset.py
simulate_human_decision_maker.py		simulate_human_decision_maker.py
train_black_box_classifier.py		train_black_box_classifier.py
visualizations.py		visualizations.py

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