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

Noirhomme Q, Lesenfants D, Gomez F, Soddu A, Schrouff J, Garraux G, Luxen A, Phillips C, Laureys S

Open source

DOI
10.1016/j.nicl.2014.04.004
Published
2014
Container
NeuroImage. Clinical
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.nicl.2014.04.004,
  title = {Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions.},
  author = {Noirhomme Q and Lesenfants D and Gomez F and Soddu A and Schrouff J and Garraux G and Luxen A and Phillips C and Laureys S},
  year = {2014},
  journal = {NeuroImage. Clinical},
  doi = {10.1016/j.nicl.2014.04.004},
  url = {https://doi.org/10.1016/j.nicl.2014.04.004}
}

RIS

TY  - JOUR
TI  - Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions.
AU  - Noirhomme Q
AU  - Lesenfants D
AU  - Gomez F
AU  - Soddu A
AU  - Schrouff J
AU  - Garraux G
AU  - Luxen A
AU  - Phillips C
AU  - Laureys S
PY  - 2014
JO  - NeuroImage. Clinical
DO  - 10.1016/j.nicl.2014.04.004
UR  - https://doi.org/10.1016/j.nicl.2014.04.004
ER  - 

APA

Q, N., D, L., F, G., A, S., J, S., G, G., A, L., C, P., & S, L. (2014). Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions.. NeuroImage. Clinical. https://doi.org/10.1016/j.nicl.2014.04.004

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