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Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA

발행
2025
확인된 저자
Conrad Borchers
소속·발행
International Educational Data Mining Society
출처
해외 ERIC
원문
서지 보기
개념
초록

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 frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness.

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