Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data.

MLA

Afshar, Farshid, et al. “Application of Extremely Randomised Trees for Exploring Influential Factors on Variant Crash Severity Data.” Scientific Reports, vol. 12, no. 1, July 2022, pp. 1–19. EBSCOhost, https://doi.org/10.1038/s41598-022-15693-7.

APA

Afshar, F., Seyedabrishami, S., & Moridpour, S. (2022). Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data. Scientific Reports, 12(1), 1–19. https://doi.org/10.1038/s41598-022-15693-7

Chicago

Afshar, Farshid, Seyedehsan Seyedabrishami, and Sara Moridpour. 2022. “Application of Extremely Randomised Trees for Exploring Influential Factors on Variant Crash Severity Data.” Scientific Reports 12 (1): 1–19. doi:10.1038/s41598-022-15693-7.