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
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2.6K
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93
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45
Institutions
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2017–2026
6
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35
Heuristics of instability and stabilization in model selection
Leo Breiman · The Annals of Statistics · 1996 · 1.2K citations
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45

Tel Aviv University
Tel Aviv, Israel
2 h-index
4 publications
156 citations

University of New England
Armidale, Australia
1 h-index
2 publications
78 citations

Stockholm University
Stockholm, Sweden
1 h-index
1 publications
37 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
28 citations

Royal Stoke University Hospital
Stoke-on-Trent, United Kingdom
1 h-index
3 publications
132 citations
University of Missouri
Columbia, United States
1 h-index
3 publications
150 citations
Lockheed Martin (United States)
Bethesda, United States
1 h-index
1 publications
11 citations

Universidad Autónoma de Madrid
Madrid, Spain
1 h-index
2 publications
50 citations
1–8 of 45
JACM · 2 publications · 108 citations
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2 publications · 140 citations
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1 publications · 14 citations
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MCOM · 1 publications · 16 citations
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1 publications · 48 citations
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