The Data Visualisation Working Party and the Supervised Learning Working Party are teaming up to present together their work on the French Motor Third Party claims dataset.

The talk will include:

• Background on the French Motor Third Party dataset
• Visualisation of the dataset using R, Python, and Tableau
• The approach and results of the baseline ZIP model
• The approach and results of GBMs, Tree models, Neural Networks, and alternative models – how these models work in-depth and/or how we trained them
• Overall results and discuss the potential next steps

Speakers: 

Eilish Bouse, Grant Thornton

Neptune Jin, BGL Insurance Group

Jonathan Bowden,  Hyperexponential

Afzaal Ahmed