Preprint Article Version 1 This version is not peer-reviewed

Machine Learning Models for Sales Time Series Forecasting

Version 1 : Received: 3 November 2018 / Approved: 5 November 2018 / Online: 5 November 2018 (09:54:54 CET)

A peer-reviewed article of this Preprint also exists.

Pavlyshenko, B.M. Machine-Learning Models for Sales Time Series Forecasting. Data 2019, 4, 15. Pavlyshenko, B.M. Machine-Learning Models for Sales Time Series Forecasting. Data 2019, 4, 15.

Journal reference: Data 2019, 4, 15
DOI: 10.3390/data4010015

Abstract

In this paper, we study the usage of machine learning models for sales time series forecasting. The effect of machine learning generalization has been considered. A stacking approach for building regression ensemble of single models has been studied. The results show that using stacking technics, we can improve the performance of predictive models for sales time series forecasting.

Subject Areas

machine learning; stacking; forecasting; regression; sales; time series

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