FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition

FairTree, a new fairness auditing algorithm, detects performance disparities across ML model subgroups without requiring data discretization. It decomposes disparities into bias and variance components, addressing limitations of prior tools like SliceFinder that struggle with continuous features.

MentionsFairTree · SliceFinder · SliceLine

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