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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Quentin Noirhomme, Damien Lesenfants, Francisco Gomez, Andrea Soddu, Jessica Schrouff, Gaëtan Garraux, André Luxen, Christophe Phillips, Steven Laureys
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Elsevier 2014-01-01
Sarja:NeuroImage: Clinical
Aiheet:
classification
cross-validation
binomial
permutation test
Linkit:http://www.sciencedirect.com/science/article/pii/S2213158214000485
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia