Calibrating machine learning approaches for probability estimation: A comprehensive comparison.

Ojeda FM, Jansen ML, Thiéry A, Blankenberg S, Weimar C, Schmid M, Ziegler A

DOI: 10.1002/sim.9921
Published: 2023 Dec 20
Container: Statistics in medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/sim.9921,
  title = {Calibrating machine learning approaches for probability estimation: A comprehensive comparison.},
  author = {Ojeda FM and Jansen ML and Thiéry A and Blankenberg S and Weimar C and Schmid M and Ziegler A},
  year = {2023},
  journal = {Statistics in medicine},
  doi = {10.1002/sim.9921},
  url = {https://doi.org/10.1002/sim.9921}
}

RIS

TY  - JOUR
TI  - Calibrating machine learning approaches for probability estimation: A comprehensive comparison.
AU  - Ojeda FM
AU  - Jansen ML
AU  - Thiéry A
AU  - Blankenberg S
AU  - Weimar C
AU  - Schmid M
AU  - Ziegler A
PY  - 2023
JO  - Statistics in medicine
DO  - 10.1002/sim.9921
UR  - https://doi.org/10.1002/sim.9921
ER  -

APA

FM, O., ML, J., A, T., S, B., C, W., M, S., & A, Z. (2023). Calibrating machine learning approaches for probability estimation: A comprehensive comparison.. Statistics in medicine. https://doi.org/10.1002/sim.9921

Source records

pubmed · retrieved 2026-09-26T23:10:42.635Z