Predicting motor insurance claims using telematics data-XGBoost versus logistic regression
Year of publication: |
2019
|
---|---|
Authors: | Pesantez-Narvaez, Jessica ; Guillén, Montserrat ; Alcañiz, Manuela |
Published in: |
Risks : open access journal. - Basel : MDPI, ISSN 2227-9091, ZDB-ID 2704357-5. - Vol. 7.2019, 2/70, p. 1-16
|
Subject: | dichotomous response | predictive model | tree boosting | GLM | machine learning | Prognoseverfahren | Forecasting model | Kfz-Versicherung | Automobile insurance | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Regressionsanalyse | Regression analysis |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/risks7020070 [DOI] hdl:10419/257908 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Analysis of book sales prediction at Amazon marketplace in India : a machine learning approach
Sharma, Satyendra Kumar, (2019)
-
Data analytics for non-life insurance pricing
Wüthrich, Mario V., (2017)
-
A hybrid machine learning approach to hotel sales rank prediction
Srivastava, Praveen Ranjan, (2023)
- More ...
-
Predicting motor insurance claims using telematics data-XGBoost versus logistic regression
Pesantez-Narvaez, Jessica, (2019)
-
A synthetic penalized logitboost to model mortgage lending with imbalanced data
Pesantez-Narvaez, Jessica, (2021)
-
Prevalence of alcohol-impaired drivers based on random breath tests in a roadside survey
Alcañiz, Manuela, (2013)
- More ...