Predictor Stability

Predictor Stability is a methodological criterion in feature stability analysis that assesses the consistency with which a predictive model retains relevant features across varying datasets or perturbations, distinguishing itself by focusing on the robustness of input variable selection rather than model performance or parameter estimates.

35

Publications

2.6K

Citations

93

Authors

45

Institutions

Publications per year

2017–2026

6

Authors

93

  1. YR
    Yvonne Racine

    McMaster University, Canada

    2 publications · 140 citations

    2

    h-index

  2. SB
    Stephen Brown

    University of Ulster, United Kingdom

    2 publications · 140 citations

    2

    h-index

  3. KB
    Kathryn Bennett

    McMaster University, Canada

    2 publications · 140 citations

    2

    h-index

  4. EL
    Ellen L. Lipman

    McMaster University, Canada

    2 publications · 140 citations

    2

    h-index

  5. FJ
    Francisco J. Abad

    Universidad Autónoma de Madrid, Spain

    1 publications · 25 citations

    1

    h-index

1–5 of 93

Venues

  1. Journal of the ACM

    JACM · 2 publications · 108 citations

    2

    h-index

  2. Journal of Consulting and Clinical Psychology

    2 publications · 140 citations

    2

    h-index

  3. Crop Science

    1 publications · 14 citations

    1

    h-index

  4. Mathematics of Computation

    MCOM · 1 publications · 16 citations

    1

    h-index

  5. ISA Transactions

    1 publications · 48 citations

    1

    h-index

1–5