Abstract
The aim of this paper is to implement, one of the most representative
supervised learning approaches, the decision tree based ensemble method called gradient boosting for classifying the number of claims caused by storms in Greece using data from a major insurance company operating in Greece. Finally, a machine learning algorithm is used to for categorising the number of claims which have been occurred by a “storm event” into 3 categories: “no claims”, “1 claim”, “2 or more claims”.
supervised learning approaches, the decision tree based ensemble method called gradient boosting for classifying the number of claims caused by storms in Greece using data from a major insurance company operating in Greece. Finally, a machine learning algorithm is used to for categorising the number of claims which have been occurred by a “storm event” into 3 categories: “no claims”, “1 claim”, “2 or more claims”.
Original language | English |
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Pages (from-to) | 149-168 |
Number of pages | 20 |
Journal | Anales del Instituto de Actuarios Españoles |
Issue number | 28 |
DOIs | |
Publication status | Published - 15 Dec 2022 |