Random forest algorithms as feature selection method in macroeconomic forecasting

Additional Metadata
Keywords	Machine learning; Macroeconomic forecasting; regularization; random forest
Thesis Advisor	Naghi, AA
Persistent URL	hdl.handle.net/2105/63124
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Heuij, P.T. van den. (2022). Random forest algorithms as feature selection method in macroeconomic forecasting. In Econometrie.http://hdl.handle.net/2105/63124

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