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What is Machine Learning for Pricing Optimization about?

This paper examines the use of machine learning techniques, particularly tree boosted models, for pricing optimization in the insurance sector, comparing their effectiveness to traditional Generalized Linear Models (GLMs). It highlights the importance of modeling customer behavior and market dynamics to enhance policyholder retention and conversion rates. The authors provide a systematic review of predictive modeling methodologies and their application in optimizing insurance pricing strategies.

Author

deeplearning.nsz

Language

EN