The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles

Koen W. De Bock

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DOI: 10.1016/j.eswa.2017.07.036
Published: 2017-12
Container: Expert Systems with Applications
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.eswa.2017.07.036,
  title = {The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles},
  author = {Koen W. De Bock},
  year = {2017},
  journal = {Expert Systems with Applications},
  doi = {10.1016/j.eswa.2017.07.036},
  url = {https://doi.org/10.1016/j.eswa.2017.07.036}
}

RIS

TY  - JOUR
TI  - The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles
AU  - Koen W. De Bock
PY  - 2017
JO  - Expert Systems with Applications
DO  - 10.1016/j.eswa.2017.07.036
UR  - https://doi.org/10.1016/j.eswa.2017.07.036
ER  -

APA

Bock, K. W. D. (2017). The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2017.07.036

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crossref · retrieved 2026-09-26T09:40:57.011Z