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stat.ML2025
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA
Conrad Borchers
Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is freq…
stat.ML2024★ 3 cited
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation
Conrad Borchers, Ryan S. Baker
Algorithmic bias continues to be a key concern of learning analytics. We study the statistical properties of the Absolute Between-ROC Area (ABROCA) metric. This fairness measure qu…