Robustness and Unbalanced Data in Machine Learning: Explainable Tree-Based Ensemble Algorithms Applied in a Marketing Context

Additional Metadata
Keywords	Machine Learning; EBM; ERF; Decision Trees; Boosting; Bagging; Interpretation; Explainable; Robustness; Unbalanced Data; Marketing
Thesis Advisor	Birbil, S.I.
Persistent URL	hdl.handle.net/2105/59475
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	Suijkerbuijk, M.A. (2021). Robustness and Unbalanced Data in Machine Learning: Explainable Tree-Based Ensemble Algorithms Applied in a Marketing Context. In Econometrie.http://hdl.handle.net/2105/59475

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