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

Additional Metadata
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 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	Zhu, Yu. (2023). Determine the Optimal Prediction Horizon for a Near-term Train Delay Forecast Using Bi-level Random Forest Algorithm. In Business Analytics & Management.http://hdl.handle.net/2105/68485

Publication