Our purpose in this article is to provide a point of empirical evidence as to how machine-learning techniques stack up in their ability to predict consumer choices, relative to traditional statistical techniques. We compare a traditional (naïve) multinomial logit to six machine-learning alternatives: Learning Multinomial Logit, Random Forests, Neural Networks, Gradient Boosting, Support Vector Machines … Continue reading Machine learning for product purchase prediction