In this video Jarlath shows how to automatically produce a model that predicts customer’s recommendation scores based upon transactional and operational data.
We can also see how we can evaluate the model accuracy and browse its contents to uncover what are the key fields in the transactional and operational data that the model has chosen to make its predictions before finally examining the rules that the model has uncovered to estimate the guest’s recommendation class.
