Estimating Classification Consistency of Machine Learning Models for Screening Measures.

This article illustrates novel quantitative methods to estimate classification consistency in machine learning models used for screening measures. Screening measures are used in psychology and medicine to classify individuals into diagnostic classifications. In addition to achieving high accuracy, i...

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Detalles Bibliográficos

Publicado en:	Psychological Assessment Vol. 36; no. 6/7; pp. 395 - 407
Autores principales:	Gonzalez, Oscar, Georgeson, A. R., Pelham III, William E.
Formato:	Artículo
Publicado:	American Psychological Association Jun/Jul2024
Materias:	Personality disorder diagnosis Decision making Medical screening Statistical models Prediction models Probability theory Descriptive statistics Machine learning Data analysis software Algorithms
Acceso en línea:	Ver este registro en EBSCOhost