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Vehicle Price Prediction System using Machine Learning Techniques

by Kanwal Noor, Sadaqat Jan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 167 - Number 9
Year of Publication: 2017
Authors: Kanwal Noor, Sadaqat Jan

Kanwal Noor, Sadaqat Jan . Vehicle Price Prediction System using Machine Learning Techniques. International Journal of Computer Applications. 167, 9 ( Jun 2017), 27-31. DOI=10.5120/ijca2017914373

@article{ 10.5120/ijca2017914373,
author = { Kanwal Noor, Sadaqat Jan },
title = { Vehicle Price Prediction System using Machine Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 167 },
number = { 9 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017914373 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:14:54.798996+05:30
%A Kanwal Noor
%A Sadaqat Jan
%T Vehicle Price Prediction System using Machine Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 9
%P 27-31
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

This paper presents a vehicle price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 98% prediction precision. Using multiple linear regression, there are multiple independent variables but one and only one dependent variable whose actual and predicted values are compared to find precision of results. This paper proposes a system where price is dependent variable which is predicted, and this price is derived from factors like vehicle’s model, make, city, version, color, mileage, alloy rims and power steering.

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Index Terms

Computer Science
Information Sciences


Multiple Linear regression Car Price Regression model.