Public Split

Public Split is a dataset partitioning protocol in machine learning research that, as a construct, designates specific training, validation, and test subsets made publicly available to ensure consistent and reproducible evaluation across studies within a given domain.

5

Publications

218

Citations

7

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

7

  1. SM
    Sean McCartney

    University of Essex, United Kingdom

    1 publications · 11 citations

    1

    h-index

  2. AH
    Anita Harris

    Deakin University, Australia

    1 publications · 69 citations

    1

    h-index

  3. KM
    K. M. D.

    1 publications · 74 citations

    1

    h-index

  4. HH
    Harry Houdini

    1 publications · 74 citations

    1

    h-index

  5. RB
    Reva Berman Brown

    Oxford Brookes University, United Kingdom

    1 publications · 11 citations

    1

    h-index

1–5 of 7

Institutions

2

  1. University of Essex

    Colchester, United Kingdom

    1 h-index

    2 publications

    22 citations

  2. Lee University

    Cleveland, United States

    1 h-index

    1 publications

    15 citations

  3. University of Sudbury

    Sudbury, Canada

    1 publications

    14 citations

1–3 of 2

Venues

  1. 1

    h-index

  2. The American Journal of Psychology

    AJP · 1 publications · 74 citations

    1

    h-index

  3. Feminist Review

    1 publications · 69 citations

    1

    h-index

  4. Politics & Society

    PAS · 1 publications · 49 citations

    1

    h-index

  5. Philosophy & Social Criticism

    1 publications · 15 citations

    1

    h-index

1–5