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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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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