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.
We use cookies on our website to ensure you get the best experience. Read more about our cookies here.
RSS feed for
Preprints: The Multidisciplinary Preprint Platform
Paste the URL in your RSS reader:
https://www.preprints.org/rss
If you want to subscribe our website in subject-wide, you could find the URL by choosing in the following: