Gaussian process classification of sportsbook customers

Abstract

Segmentation is an underrated tool in management science that in many times implemented for different purposes, marketing being the more common. Classification o customers could be of great use to the online betting industry. In this dissertation, we shall use segmentation techniques on a sportsbook dataset using a number of customer characteristics as well as playing habits and performances. Gaussian processes have been much studied and harnessed to aid with diverse problems in statistics; regression and classification being major beneficiaries. In the work developed here techniques using Gaussian processes are considered at length studied and applied to the data. Classical clustering techniques offered benchmarks, background and context for comparative and evaluative purposes.