AN OPTIMAL CHOICE OF LOCATION FOR A FRANCHISED RESTAURANT
In this work we analyze the business attractiveness of cities. We select factors influenced attractiveness of the city and show how to estimate them. We suggest classical machine learning algorithms (ordinary least squares regression, elastic net, support vector regression, and random forest). We show results of empirical study and discuss what factors are the most important in the case of the chosen franchise.