Predicting insurance premiums with Machine Learning: the MS Amlin case

Additional Metadata
Keywords	Machine learning; decsion tree; random forest; extreme gradient boosting; support vector regeression; premium pricing; expected loss costs
Thesis Advisor	Cavicchia, C
Persistent URL	hdl.handle.net/2105/70185
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Groen, S. (2023, September 28). Predicting insurance premiums with Machine Learning: the MS Amlin case. Business Economics. Retrieved from http://hdl.handle.net/2105/70185

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