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DC Field | Value | Language |
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dc.contributor.author | Pesantez-Narvaez, Jessica | - |
dc.contributor.author | Guillén, Montserrat | - |
dc.contributor.author | Alcañiz, Manuela | - |
dc.date.accessioned | 2021-04-15T10:52:58Z | - |
dc.date.available | 2021-04-15T10:52:58Z | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 2227-7390 | - |
dc.identifier.uri | http://hdl.handle.net/2445/176310 | - |
dc.description.abstract | A boosting-based machine learning algorithm is presented to model a binary response with large imbalance, i.e., a rare event. The new method (i) reduces the prediction error of the rare class, and (ii) approximates an econometric model that allows interpretability. RiskLogitboost regression includes a weighting mechanism that oversamples or undersamples observations according to their misclassification likelihood and a generalized least squares bias correction strategy to reduce the prediction error. An illustration using a real French third-party liability motor insurance data set is presented. The results show that RiskLogitboost regression improves the rate of detection of rare events compared to some boosting-based and tree-based algorithms and some existing methods designed to treat imbalanced responses. | - |
dc.format.extent | 21 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.3390/math9050579 | - |
dc.relation.ispartof | Mathematics, 2021, vol. 9, num. 579, p. 1-21 | - |
dc.relation.uri | https://doi.org/10.3390/math9050579 | - |
dc.rights | cc-by (c) Pesantez-Narvaez, Jessica et al., 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Econometria, Estadística i Economia Aplicada) | - |
dc.subject.classification | Anàlisi de regressió | - |
dc.subject.classification | Teoria de l'estimació | - |
dc.subject.classification | Processament de dades | - |
dc.subject.classification | Sistema binari (Matemàtica) | - |
dc.subject.other | Regression analysis | - |
dc.subject.other | Estimation theory | - |
dc.subject.other | Data processing | - |
dc.subject.other | Binary system (Mathematics) | - |
dc.title | RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 710731 | - |
dc.date.updated | 2021-04-15T10:52:58Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Econometria, Estadística i Economia Aplicada) |
Files in This Item:
File | Description | Size | Format | |
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710731.pdf | 4.43 MB | Adobe PDF | View/Open |
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