Application of factor analysis and neural networks for prediction in taxi service

Abstract

In this work, a study of multidimensional data on the operation of a taxi ordering service was carried out in order to predict the cost of an application. It is shown that it is possible to single out the main components, on the basis of which a sufficiently accurate prediction with respect to the initial data set is possible.