Determine the Optimal Prediction Horizon for a Near-term Train Delay Forecast Using Bi-level Random Forest Algorithm

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Keywords	Delay forecast, Random forest model, Train delay, Passenger experience management, Prediction horizon
Thesis Advisor	Veelenturf, Luuk, Tunay, Orkun
Persistent URL	hdl.handle.net/2105/68485
Series	Business Analytics & 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	Zhu, Yu. (2023, June 27). Determine the Optimal Prediction Horizon for a Near-term Train Delay Forecast Using Bi-level Random Forest Algorithm. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/68485

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