The behavior of prices of tubers prices can be projected from prediction techniques in this document, a price prediction model based on Machine Learning techniques is proposed. The main objective is to establish a price approximation for the city of Bogotá applying as as a statistical method, time series that allow determining price increases or decreases in the commercialization of tubers; as a result of the execution of the model Applied to the tuber (Arracacha) in the first week of December 2018 a deviation of 19,11 was obtained