This project focused on applying machine learning models to augment an incomplete and imbalanced dataset containing real cases of car insurance fraud. The project was conducted in collaboration with NR (the Norwegian Comuting Centre).
Using ML techniques to analyze an incomplete imbalanced dataset which contains real cases of fraud
Publisert 14. nov. 2018 15:30
- Sist endret 15. des. 2022 07:14