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The Advantage of Case-Tailored Information Metrics for the Development of Predictive Models, Calculated Profit in Credit Scoring
dc.affiliation | Uniwersytet Warszawski |
dc.contributor.author | Chlebus, Marcin |
dc.contributor.author | Chrościcki, Daniel |
dc.contributor.author | Chrościcki, Daniel |
dc.date.accessioned | 2024-01-26T09:54:03Z |
dc.date.available | 2024-01-26T09:54:03Z |
dc.date.issued | 2022 |
dc.description.finance | Publikacja bezkosztowa |
dc.description.number | 9 |
dc.description.volume | 24 |
dc.identifier.doi | 10.3390/E24091218 |
dc.identifier.issn | 1099-4300 |
dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/121849 |
dc.identifier.weblink | https://doi.org/10.3390/e24091218 |
dc.language | eng |
dc.pbn.affiliation | economics and finance |
dc.relation.ispartof | Entropy |
dc.relation.pages | 1218 |
dc.rights | ClosedAccess |
dc.sciencecloud | nosend |
dc.title | The Advantage of Case-Tailored Information Metrics for the Development of Predictive Models, Calculated Profit in Credit Scoring |
dc.type | JournalArticle |
dspace.entity.type | Publication |