Creating an Automated Regression Model with SAP Predictive Analytics

Let's walk through the steps of creating an automated regression model with SAP Predictive Analytics.

 

We’ll use two datasets (one for training, one for application) related to predicting the energy use of household appliances (https://archive.ics.uci.edu/ml/datasets/ Appliances+energy+prediction), provided by the UCI Machine Learning Repository.

https://blog.sap-press.com/creating-an-automated-regression-model-with-sap-predictive-analytics?utm_campaign=Blog&utm_content=135630975&utm_medium=social&utm_source=twitter&hss_channel=tw-2491644698&success=true

Editor’s note: This post has been adapted from a section of the book SAP Predictive Analytics: The Comprehensive Guide by Antoine Chabert, Andreas Forster, Laurent Tessier, and Pierpaolo Vezzosi.

Book SAP Press:

https://www.sap-press.com/sap-predictive-analytics_4491/?utm_source=sappressblog&utm_medium=contentmarketing&utm_campaign=Blogs&utm_term=chapter7&utm_content=1592

 

*The full citation for the dataset above is as follows:

Luis M. Candanedo, Veronique Feldheim, and Dominique Deramaix, “Data driven prediction models of energy use of appliances in a low-energy house,” Energy and Buildings, Volume 140, 1 April 2017, Pages 81–97, ISSN 0378-7788, https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction.