Using Stacking Approaches for Machine Learning Models 论文

2018引用 353

Neural Networks and ApplicationsStatistical and Computational ModelingTime Series Analysis and Forecasting

人工智能 Neural Networks and Applications Time Series Analysis and Forecasting Statistical and Computational Modeling

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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.

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Bohdan M. Pavlyshenko

Using Stacking Approaches for Machine Learning Models 论文

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