Predicting Second-Hand Car Sales Price Using Decision Trees and Genetic Algorithms

Mehmet Özçalıcı

Alphanumeric Journal, 2017, vol. 5, issue 1, 103-114

Abstract: It is important to predict the sales price of second-hand car for both persons and institutions who are operating in second-hand market. The sales price of cars are affected by many factors which makes predicting difficult. Especially there is no readily available method to determine which factors are affecting the sales price most. The purpose of this study is to predict the sales price of second-hand cars with decision trees. Genetic Algortihm is used to select the most relevant features. For this purpose, 252645 advertisements are scanned fort his study. For each advertisement there are 139 features available. Different models are examined using genetic algorithms with selecting 5, 10, 15 and 20 features. The best predicting performance in the out-of-sample experiment is %65,67. Proposed model can be used as a decision support system for those operating in second-hand car market.

Keywords: Data Mining; Decision Trees; Genetic Algorithm; Predicting; Second-Hand Cars (search for similar items in EconPapers)
JEL-codes: C44 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.alphanumericjournal.com/media/Issue/vo ... -otomobi_WznvXT9.pdf (application/pdf)
https://alphanumericjournal.com/article/karar-agac ... satis-fiyat-tahmini/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:5:y:2017:i:1:p:103-114

DOI: 10.17093/alphanumeric.323836

Access Statistics for this article

More articles in Alphanumeric Journal from Bahadir Fatih Yildirim
Bibliographic data for series maintained by Bahadir Fatih Yildirim ().