EconPapers    
Economics at your fingertips  
 

Fraud detection in the era of Machine Learning: a household insurance case

Denisa Banulescu-Radu () and Meryem Yankol-Schalck

No 2904, LEO Working Papers / DR LEO from Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans

Keywords: Fraud detection; Household insurance; Machine learning; Logistic LASSO; XGBoost; Imbalanced data; SHAP (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-big, nep-cmp and nep-ias
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://data.leo-univ-orleans.fr/media/search-works/2904/dr-leo-2021-14.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:leo:wpaper:2904

Access Statistics for this paper

More papers in LEO Working Papers / DR LEO from Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans Contact information at EDIRC.
Bibliographic data for series maintained by Sébastien Galanti ().

 
Page updated 2022-09-15
Handle: RePEc:leo:wpaper:2904