Comparing different machine learning models for bank client credit scoring

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Keywords	machine learning, artificial neural networks, logistic regression, random forest, support vector machine, naive Bayes classifiers, k-nearest neighbours
Thesis Advisor	Simons, A.P., Bode, Ben
Persistent URL	hdl.handle.net/2105/54550
Series	Business Information Management
Organisation	Rotterdam School of Management
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	Jiang, Wenrui. (2020, August 25). Comparing different machine learning models for bank client credit scoring. Business Information Management. Retrieved from http://hdl.handle.net/2105/54550

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