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Peer reviewed Peer reviewed
ERIC Number: EJ487368
Record Type: Journal
Publication Date: 1994
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0013-1644
EISSN: N/A
Optimizing the Classification Performance of Logistic Regression and Fisher's Discriminant Analyses.
Yarnold, Paul R.; And Others
Educational and Psychological Measurement, v54 n1 p73-85 Spr 1994
A methodology is proposed to optimize the training classification performance of any suboptimal model. The method, referred to as univariate optimal discriminant analysis (UniODA), is illustrated through application to a two-group logistic regression analysis with 12 empirical examples. Maximizing percentage accuracy in classification is demonstrated. (SLD)
Descriptors: Classification, Discriminant Analysis, Models, Performance, Regression (Statistics), Statistical Studies, Training
Publication Type: Reports - Research; Journal Articles
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A