A new classifier derived from determinism and statistical consistency requirements achieves zero consistency error by construction and outperforms baselines on Adult, COMPAS, and Bank Marketing datasets.
Interpretable and Fair Mechanisms for Abstaining Classifiers
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Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
A new classifier derived from determinism and statistical consistency requirements achieves zero consistency error by construction and outperforms baselines on Adult, COMPAS, and Bank Marketing datasets.