Bankruptcy prediction model using cost-sensitive extreme gradient boosting in the context of imbalanced datasets
- DOI
- 10.11591/ijece.v13i4.pp4683-4691
- Published
- 2023-08-01
- Container
- International Journal of Electrical and Computer Engineering (IJECE)
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.11591/ijece.v13i4.pp4683-4691,
title = {Bankruptcy prediction model using cost-sensitive extreme gradient boosting in the context of imbalanced datasets},
author = {Wirot Yotsawat and Kanyalag Phodong and Thawatchai Promrat and Pakaket Wattuya},
year = {2023},
journal = {International Journal of Electrical and Computer Engineering (IJECE)},
doi = {10.11591/ijece.v13i4.pp4683-4691},
url = {https://doi.org/10.11591/ijece.v13i4.pp4683-4691}
}RIS
TY - JOUR TI - Bankruptcy prediction model using cost-sensitive extreme gradient boosting in the context of imbalanced datasets AU - Wirot Yotsawat AU - Kanyalag Phodong AU - Thawatchai Promrat AU - Pakaket Wattuya PY - 2023 JO - International Journal of Electrical and Computer Engineering (IJECE) DO - 10.11591/ijece.v13i4.pp4683-4691 UR - https://doi.org/10.11591/ijece.v13i4.pp4683-4691 ER -
APA
Yotsawat, W., Phodong, K., Promrat, T., & Wattuya, P. (2023). Bankruptcy prediction model using cost-sensitive extreme gradient boosting in the context of imbalanced datasets. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v13i4.pp4683-4691
Source records
- crossref · retrieved 2026-09-26T22:49:38.160Z