Search Results for author:
Found 5 papers, 1 papers with code
Improving Business Insurance Loss Models by Leveraging InsurTech Innovation
Recent transformative and disruptive advancements in the insurance industry have embraced various InsurTech innovations.
The SAMME.C2 algorithm for severely imbalanced multi-class classification
Classification predictive modeling involves the accurate assignment of observations in a dataset to target classes or categories.
Synthetic Dataset Generation of Driver Telematics
This article describes techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset.
Applications of Clustering with Mixed Type Data in Life Insurance
Using gap statistics, the optimal clusters obtained from the algorithm are then used to compare actual to expected death claims experience of the life insurance portfolio.
Decision Making
Applications
62P05
Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics
In this article, we explore how to integrate telematics information to better predict claims frequency.
