Binary & Non-Binary Random Forest & Support Vector Machine for Commodity Price Prediction

Additional Metadata
Keywords	commodities; encoding; machine learning; random forest; SVM; technical indicators
Thesis Advisor	Dijk, DJC van
Persistent URL	hdl.handle.net/2105/67774
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	Man, K.W. (2023, September 13). Binary & Non-Binary Random Forest & Support Vector Machine for Commodity Price Prediction. Econometrie. Retrieved from http://hdl.handle.net/2105/67774

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