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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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Published in:Psychological Assessment Vol. 36; no. 6/7; pp. 395 - 407
Main Authors: Gonzalez, Oscar, Georgeson, A. R., Pelham III, William E.
Format: Article
Published: American Psychological Association Jun/Jul2024
Subjects:
Personality disorder diagnosis
Decision making
Medical screening
Statistical models
Prediction models
Probability theory
Descriptive statistics
Machine learning
Data analysis software
Algorithms
Online Access:View this record in EBSCOhost