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

Authors

147

  1. TS
    Thomas S. Dee

    Stanford University, United States

    1 publications · 26 citations

    2

    h-index

  2. TH
    Travis Hammond

    University of Alaska Fairbanks, United States

    2 publications · 219 citations

    2

    h-index

  3. JP
    June Park John

    Stanford University, United States

    1 publications · 26 citations

    2

    h-index

  4. BJ
    Brent J. Evans

    Vanderbilt University, United States

    1 publications · 26 citations

    2

    h-index

  5. DL
    David L. Verbyla

    University of Alaska Fairbanks, United States

    2 publications · 219 citations

    2

    h-index

1–5 of 147

Venues

  1. International Journal of Remote Sensing

    3 publications · 251 citations

    3

    h-index

  2. 3

    h-index

  3. Knowledge-Based Systems

    2 publications · 42 citations

    2

    h-index

  4. The Clinical Neuropsychologist

    TCN · 1 publications · 47 citations

    1

    h-index

  5. Journal of Official Statistics

    JOS · 1 publications · 21 citations

    1

    h-index

1–5