Predicting Driver Insurance Claim

Sebastian Squire


Supervised by Yuhua Li; Moderated by Alun D Preece

A more accurate claim prediction will allow insurance companies to further tailor their prices, and hopefully make auto insurance coverage more accessible to more drivers. This project will build a model that predicts the probability that a driver will initiate an auto insurance claim in the next year. You are free to choose to use dataset(s) you find yourself. A potential dataset can be https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/data.

This project requires you to have good knowledge and skills in programming, machine learning and maths.

Initial Plan (03/02/2020) [Zip Archive]

Final Report (05/06/2020) [Zip Archive]

Publication Form