Categories
- ACTUARIAL DATA SCIENCE
- AFIR / ERM / RISK
- ASTIN / NON-LIFE
- BANKING / FINANCE
- DIVERSITY & INCLUSION
- EDUCATION
- HEALTH
- IACA / CONSULTING
- LIFE
- PENSIONS
- PROFESSIONALISM
- Thought Leadership
- MISC
This paper will discuss the difficulty of motor extended warranty rate-making and review existing approaches to tackle current difficulties. It will also compare the prediction accuracy of GLM, SVM, and deep learning methods using data from Korea and China.
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