About this document
Fraud Detection in Insurance Claims by saravanan iyer is a document available to read on EtoBox.
1) The document describes a methodology for building a classification model to determine if an insurance claim is fraudulent. It involves data validation, preprocessing, clustering, model selection and prediction. 2) The data contains customer information like age, policy details, claim details and whether fraud was reported. It will be validated, preprocessed by imputing nulls, encoding categories and scaling before clustering and model training. 3) KMeans clustering will create clusters and the best mo
- Author
- saravanan iyer
- Language
- EN