Prediction of Used Car Prices Using Artificial Neural Networks and Machine Learning

Authors

  • N Sudha Laxmaiah  Assistant Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Konda Shireesha  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Bandaru Prathima  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India

Keywords:

Component, Formatting, Style, Styling, Insert

Abstract

In this paper, we investigate the application of supervised machine learning techniques to predict the price of used cars in Mauritius. The predictions are based on historical data collected from daily newspapers. Different techniques like multiple linear regression analysis, k-nearest neighbours, naïve bayes and decision trees have been used to make the predictions. The predictions are then evaluated and compared in order to find those which provide the best performances. A seemingly easy problem turned out to be indeed very difficult to resolve with high accuracy. All the four methods provided comparable performance. In the future, we intend to use more sophisticated algorithms to make the predictions.

References

  1. NATIONAL TRANSPORT AUTHORITY. 2014. Available from: http://nta.gov.mu/English/Statistics/Pages/Archive.aspx [Accessed 15 January2014].
  2. MOTORS MEGA. 2014. Available from:http://motors.mega.mu/news/2013/12/17/auto-market-8-decrease-sales-new cars/ [Accessed 17 January 2014].
  3. LISTIANI, M., 2009. Support Vector Regression Analysis for Price Prediction in a Car Leasing Application. Thesis (MSc). Hamburg University of Technology.
  4. RICHARDSON, M., 2009. Determinants of Used Car Resale Value. Thesis (BSc). The Colorado College.
  5. WU, J. D., HSU, C. C. AND CHEN, H. C., 2009. An expert system of price forecasting for used cars using adaptive neuro-fuzzy inference. Expert Systems with Applications. Vol. 36, Issue 4, pp. 7809-7817.
  6. DU, J., XIE, L. AND SCHROEDER S., 2009. Practice Prize Paper – PIN Optimal Distribution of Auction Vehicles System: Applying Price Forecasting, Elasticity Estimation and Genetic Algorithms to Used-Vehicle Distribution. Marketing Science, Vol. 28, Issue 4, pp. 637-644.
  7. GONGGI, S., 2011. New model for residual value prediction of used cars based on BP neural network and non-linear curve fit. In: Proceedings of the 3 rd IEEE International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Vol 2. pp. 682-685, IEEE Computer Society, Washington DC, USA.
  8. LEXPRESS.MU ONLINE. 2014. Available from: http://www.lexpress.mu/[Accessed 17 January 2014]
  9. LE DEFI MEDIA GROUP. 2014. Available from: http://www.defimedia.info/[Accessed 17 January 2014]
  10. GELMAN, A. AND HILL, J., 2006. Data Analysis Using Regression and Multilevel Hierarchical Models. Cambridge University Press, New York, USA.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-08-30

Issue

Volume 9, Issue 4, July-August-2023

Section

Research Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
N Sudha Laxmaiah, Konda Shireesha, Bandaru Prathima, " Prediction of Used Car Prices Using Artificial Neural Networks and Machine Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 4, pp.47-51, July-August-2023.