Imbalanced learning for insurance using modified loss functions in tree-based models
Changyue Hu, Zhiyu Quan, Wing Fung Chong
| Year of publication: |
2022
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|---|---|
| Authors: | Hu, Changyue ; Quan, Zhiyu ; Chong, Wing Fung |
| Published in: |
Insurance / Mathematics & economics. - Amsterdam : Elsevier, ISSN 0167-6687, ZDB-ID 8864-X. - Vol. 106.2022, p. 13-32
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| Subject: | Imbalanced learning | Custom loss | Canberra distance | Regression tree | Tree-based algorithms | Theorie | Theory | Lernen | Learning | Algorithmus | Algorithm | Regressionsanalyse | Regression analysis | Lernprozess | Learning process | Versicherung | Insurance |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.insmatheco.2022.04.010 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013380451