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Application of Machine Learning to Fraud Detection in General Insurance

Student: Chzhan Grigory

Supervisor: Sergey Chulkov

Faculty: Faculty of Economic Sciences

Educational Programme: Economics (Bachelor)

Year of Graduation: 2019

In this paper we built a model for predicting fraud in general insurance. Moreover, we provide a comparison of different algorithms and process of feature engineering. The best score was reached with gradient boosting over decision trees algorithm.

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