Classification Accuracy Bias
Classification Accuracy Bias is a metric that quantifies systematic disparities in classification accuracy across different demographic groups, distinguishing itself from other fairness metrics by specifically measuring the extent to which predictive performance deviates from equity expectations in the context of nonuniform differential item functioning.
49
Publications
13.3K
Citations
147
Authors
99
Institutions
Publications per year
2017–2026
23
49
The Balanced Accuracy and Its Posterior Distribution
Kay H. Brodersen, Cheng Soon Ong, Klaas Ε. Stephan et al. · 2010 · 1.7K citations
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99
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
89 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
3 publications
60 citations

University of Alaska Fairbanks
Fairbanks, United States
2 h-index
4 publications
438 citations

Shiga University
Hikone, Japan
1 h-index
1 publications
38 citations

North China Electric Power University
Beijing, China
1 h-index
1 publications
12 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
2.4K citations
Electric Power University
Hanoi, Vietnam
1 h-index
2 publications
24 citations

University of Glasgow
Glasgow, United Kingdom
1 h-index
1 publications
17 citations
1–8 of 99
3 publications · 251 citations
3
h-index
TPAMI · 3 publications · 189 citations
3
h-index
2 publications · 42 citations
2
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TCN · 1 publications · 47 citations
1
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JOS · 1 publications · 21 citations
1
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1–5