Interpretable Machine Learning: Predicting the Popularity of Online News by Integrating Econometrics and Machine Learning

Additional Metadata
Keywords	interpretability; online news; machine learning; decision tree
Thesis Advisor	Wang, W.
Persistent URL	hdl.handle.net/2105/60881
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	With, S.M.J. de. (2021). Interpretable Machine Learning: Predicting the Popularity of Online News by Integrating Econometrics and Machine Learning. In Econometrie.http://hdl.handle.net/2105/60881

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