Accuracy Assessment of CatBoost for Storm Damage

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Abstract
This paper explores the use of gradient boosting
to quantify the economic damage caused by storms and classify
storm events as severe or mild. The study draws on a historical
disaster open database. These figures confirm gradient
boosting s high accuracy in analysing extreme meteorological
events for insurance.
- Title
- Accuracy Assessment of CatBoost for Storm Damage
- xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
- 29.
- Author
- Madiyarov, Kuan
- Letov, Alexey
- xmlui.dri2xhtml.METS-1.0.item-contributor-editor
- Petőné Csuka, Ildikó
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2025
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
- AIS 2025 20th International Symposium on Applied Informatics and Related Areas
- xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
- 2025. November 13.
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 5 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- CatBoost, storm-damage, storm-damage regression, stormintensity classification, machine learning
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-identifiers
- DOI: 10.12700/AIS.2025.029
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- PROCEEDINGS of 20th International Symposium on Applied Informatics and Related Areas
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2025
- xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
- 978-963-449-405-8
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Konferenciaközlemény
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Műszaki tudományok - multidiszciplináris műszaki tudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem
- xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
- Alba Regia Műszaki Kar