Using Stacking Approaches for Machine Learning Models

By Bohdan M. Pavlyshenko. International Conference on Data Stream Mining & Processing, 2018

297 citations recorded by the source corpus.

In this paper, we study the usage of stacking approach for building ensembles of machine learning models. The cases for time series forecasting and logistic regression have been considered. The results show that using stacking technics we can improve performance of predictive models in considered cases.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/2dee25bbab17a83854b0ff7ec46ef758e74a0e58