Predicting motor insurance claims using telematics data-XGBoost versus logistic regression
Predicting motor insurance claims using telematics data-XGBoost versus logistic regression
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Publisher
Basel: MDPI
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Language
English
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Basel: MDPI
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Scope and Contents
Contents
XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary response indicating the existence of accident claims versus no claims can be used to identify the determinants of traffic accidents. This study compared the relative performances of logistic regression and XGBoost approaches for predicting the existence...
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Full title
Predicting motor insurance claims using telematics data-XGBoost versus logistic regression
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TN_cdi_doaj_primary_oai_doaj_org_article_4f5a91495f6144e3ad6c1bad55f08c3c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f5a91495f6144e3ad6c1bad55f08c3c
Other Identifiers
ISSN
2227-9091
E-ISSN
2227-9091
DOI
10.3390/risks7020070
