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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
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…