2023
DOI: 10.14569/ijacsa.2023.0140966
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AIRA-ML: Auto Insurance Risk Assessment-Machine Learning Model using Resampling Methods

Ahmed Shawky Elbhrawy,
Mohamed A. Belal,
Mohamed Sameh Hassanein

Abstract: Predicting underwriting risk has become a major challenge due to the imbalanced datasets in the field. A realworld imbalanced dataset is used in this work with 12 variables in 30144 cases, where most of the cases were classified as "accepting the insurance request", while a small percentage classified as "refusing insurance". This work developed 55 machine learning (ML) models to predict whether or not to renew policies. The models were developed using the original dataset and four data-level approaches resamp… Show more

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