A-1 The Influence of Base Rate and Sample Size on Performance of a Random Forest Classifier for Dementia Prediction: Implications for Recruitment
Author(s) -
Emily Brickell,
Andrew Whitford,
Anneliese Boettcher,
Carolina Pereira,
Richard Sawyer
Publication year - 2021
Publication title -
archives of clinical neuropsychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.909
H-Index - 98
eISSN - 1873-5843
pISSN - 0887-6177
DOI - 10.1093/arclin/acab062.19
Subject(s) - dementia , random forest , sample size determination , classifier (uml) , statistics , correlation , artificial intelligence , mathematics , computer science , medicine , disease , geometry
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