Estimating the optimal linear combination of predictors using spherically constrained optimization

Estimating the optimal linear combination of predictors using spherically constrained optimization

Abstract Background In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optimal predictor combination can similarly be obtained...

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Bibliographic Details
Main Authors: Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A. Hutcheson, Clifton D. Fuller, Bibhas Chakraborty, Christine B. Peterson
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Bioinformatics
Subjects:
Area under the curve
Classification
Global optimization
Hypervolume under the manifold
Pattern search
ROC curve
Online Access:https://doi.org/10.1186/s12859-022-04953-y

Internet

https://doi.org/10.1186/s12859-022-04953-y

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