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Testing The Performance of Random Forest and Support Vector Machine Algorithms for Predicting Cyclist Casualty Severity.

Authors :
AKGÜN, Nurten
Source :
Firat University Journal of Experimental & Computational Engineering (FUJECE); 2023, Vol. 2 Issue 3, p124-133, 10p
Publication Year :
2023

Abstract

<i>Copyright of Firat University Journal of Experimental & Computational Engineering (FUJECE) is the property of Firat University Journal of Experimental & Computational Engineering (FUJECE) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
28222881
Volume :
2
Issue :
3
Database :
Complementary Index
Journal :
Firat University Journal of Experimental & Computational Engineering (FUJECE)
Publication Type :
Academic Journal
Accession number :
173482010
Full Text :
https://doi.org/10.5505/fujece.2023.57966