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Regular version of the site

Book chapter

Comparison of Machine Learning Algorithms in Restaurant Revenue Prediction

P. 219-229.

In this work we analyze the business attractiveness of cities from the franchise point of view. We select factors that theoretically influence attractiveness of the city in terms and show how to estimate them. We suggest some 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.