Triangles or Trees: Predicting Insurance Claims with Extreme Gradient Boosting

Additional Metadata
Keywords	health insurance, machine learning, XGBoost, claims forecasting, feature importance
Thesis Advisor	Bongaerts, Dion, van Daalen, Roger
Persistent URL	hdl.handle.net/2105/77296
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA 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	Deijkers, Lucas. (2025). Triangles or Trees: Predicting Insurance Claims with Extreme Gradient Boosting. In Business Analytics & Management.http://hdl.handle.net/2105/77296

Publication