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Machine Learning Models for Sales Time Series Forecasting
[post]
2018
unpublished
Preserved Fulltext
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.
doi:10.20944/preprints201811.0096.v1
fatcat:2xfshqgtcbgh7ppajtmqyyyrxu