- Published
- 2021-06-29
- Venue
- European Journal of Operational Research, vol. 297, no. 3, pp. 1178-1192
- Cited by
- 433
- Open access
- Yes, bronze
- DOI
- 10.1016/j.ejor.2021.06.053
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Dumitrescu, E., Hué, S., Hurlin, C., & Tokpavi, S. (2021). Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects. European Journal of Operational Research, 297(3), 1178–1192. https://doi.org/10.1016/j.ejor.2021.06.053
- MLA 9
Dumitrescu, Elena, et al. "Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects." European Journal of Operational Research, vol. 297, no. 3, 2021, pp. 1178–1192, https://doi.org/10.1016/j.ejor.2021.06.053.
- Chicago
Dumitrescu, Elena, Sullivan Hué, Christophe Hurlin, and Sessi Tokpavi. "Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects." European Journal of Operational Research 297, no. 3 (2021): 1178–1192. https://doi.org/10.1016/j.ejor.2021.06.053.
- GOST
Dumitrescu E., Hué S., Hurlin C. [и др.] Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects // European Journal of Operational Research. — 2021. — Vol. 297, № 3. — P. 1178–1192. — URL: https://doi.org/10.1016/j.ejor.2021.06.053
- BibTeX
@article{dumitrescu2021machine, title = {{Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects}}, author = {Elena Dumitrescu and Sullivan Hué and Christophe Hurlin and Sessi Tokpavi}, journal = {European Journal of Operational Research}, year = {2021}, volume = {297}, number = {3}, pages = {1178--1192}, doi = {10.1016/j.ejor.2021.06.053}, url = {https://doi.org/10.1016/j.ejor.2021.06.053} }- RIS
TY - JOUR AU - Dumitrescu, Elena AU - Hué, Sullivan AU - Hurlin, Christophe AU - Tokpavi, Sessi TI - Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects JO - European Journal of Operational Research VL - 297 IS - 3 SP - 1178 EP - 1192 PY - 2021 DA - 2021/06/29 DO - 10.1016/j.ejor.2021.06.053 UR - https://doi.org/10.1016/j.ejor.2021.06.053 ER -