Estimating Classification Consistency of Machine Learning Models for Screening Measures

Authors

Oscar González (ORCID: https://orcid.org/0000-0001-7122-8799)
A. R. Georgeson (ORCID: https://orcid.org/0000-0002-6426-9258)
William E. Pelham (ORCID: https://orcid.org/0000-0003-1480-570X)

Institutions

University of North Carolina at Chapel Hill (US)

Publication Details

Journal: UNC Libraries
Published: 2024-10-05
DOI: https://doi.org/10.17615/q34y-xk69
Primary Topic: Statistical and Computational Modeling
Type: article
Field-Weighted Citation Impact: 0.00

Funders

University of Pittsburgh
University of Notre Dame
University of California, Los Angeles
University of North Carolina at Chapel Hill
National Institute of Mental Health

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article

Estimating Classification Consistency of Machine Learning Models for Screening Measures

Oscar González, A. R. Georgeson, William E. Pelham

Oct 5, 2024

UNC Libraries

Statistical and Computational Modeling

article

Estimating Classification Consistency of Machine Learning Models for Screening Measures

Oscar González, A. R. Georgeson, William E. Pelham

October 5, 2024article en

Abstract

No abstract available for this paper.

UNC Libraries

University of North Carolina at Chapel Hill (US)

University of Pittsburgh, University of Notre Dame, University of California, Los Angeles, University of North Carolina at Chapel Hill, National Institute of Mental Health

Openalex Percentile: Top 85%

Statistical and Computational Modeling

DOI Open Access PDF OpenAlex

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