Cross-group Calibration

Cross-Group Calibration is a fairness evaluation metric that ensures the predicted probabilities of an outcome are equally reliable across different demographic or protected groups, thereby enabling equitable interpretation of model outputs irrespective of group membership.

3

Publications

224

Citations

7

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

7

  1. MC
    Michael Carl Tschantz

    International Computer Science Institute, United States

    1 publications · 22 citations

    1

    h-index

  2. SY
    Samuel Yeom

    Carnegie Mellon University, United States

    1 publications · 22 citations

    1

    h-index

  3. SH
    Samuel H. Rikoon

    Educational Testing Service, United States

    1 publications · 84 citations

    1

    h-index

  4. PF
    Peter F. Lovibond

    UNSW Sydney, Australia

    1 publications · 118 citations

    1

    h-index

  5. JW
    John W. Fantuzzo

    University of Pennsylvania, United States

    1 publications · 84 citations

    1

    h-index

1–5 of 7

Venues

  1. Journal of Educational Psychology

    1 publications · 84 citations

    1

    h-index

  2. Frontiers in Psychology

    1 publications · 118 citations

    1

    h-index

1–2