Fair and interpretable rules for binary classification

Additional Metadata
Thesis Advisor	Akyuz, M.H.
Persistent URL	hdl.handle.net/2105/60051
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA 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	Kroon, M.H. (2021, November 4). Fair and interpretable rules for binary classification. Econometrie. Retrieved from http://hdl.handle.net/2105/60051

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