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.
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PDF
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en
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Accuracy Assessment of CatBoost for Storm Damage
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Open access
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Óbudai Egyetem
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2025. November 13.
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Budapest
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Alba Regia Műszaki Kar
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Óbudai Egyetem
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Műszaki tudományok - multidiszciplináris műszaki tudományok
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CatBoost
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storm-damage
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storm-damage regression
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stormintensity classification
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machine learning
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Konferenciaközlemény
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PROCEEDINGS of 20th International Symposium on Applied Informatics and Related Areas