Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions

Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions

Multivariate classification is used in neuroimaging studies to infer brain activation or in medical applications to infer diagnosis. Their results are often assessed through either a binomial or a permutation test. Here, we simulated classification results of generated random data to assess the infl...

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Bibliographic Details
Main Authors: Quentin Noirhomme, Damien Lesenfants, Francisco Gomez, Andrea Soddu, Jessica Schrouff, Gaëtan Garraux, André Luxen, Christophe Phillips, Steven Laureys
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:NeuroImage: Clinical
Subjects:
classification
cross-validation
binomial
permutation test
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214000485

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http://www.sciencedirect.com/science/article/pii/S2213158214000485

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