ANALYSIS OF MULTIPLE REGRESSION ALGORITHMS TO PREDICT THE VEHICLE RESALE VALUE

Authors

  • Shubham Singh RD Engineering College Ghaziabad, India Author
  • Durgesh Sharma RD Engineering College Ghaziabad, India Author
  • Sanidhya RD Engineering College Ghaziabad, India. Author
  • Anant Sharma RD Engineering College Ghaziabad, India. Author
  • Nitin Goyal Associate Professor, RD Engineering College Ghaziabad, India. Author

DOI:

https://doi.org/10.34218/IJCET_16_02_031

Keywords:

Vehicle Resale Value Prediction, Machine Learning, R2 Metric, Analysis, Regression Algorithm

Abstract

The prediction of vehicle resale value is an important task for both customer and retailer in the automotive industry. In the recent years people’s willingness towards used car has increased. In this study several machine learning algorithms were used to anticipate the resale value of vehicles based on their age, mileage, make, model, and other relevant features. This study highlights the potential for machine learning to provide accurate and reliable predictions of vehicle resale price, with important outcomes in the automotive industry. After 2021, over 90 million passenger automobiles were produced, marking a significant increase in auto production. This growth has led to a flourishing used car market, which has become a highly lucrative sector. the most critical and fascinating areas of research within this market is automobile price prediction.

References

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Published

2025-04-30

How to Cite

Shubham Singh, Durgesh Sharma, Sanidhya, Anant Sharma, & Nitin Goyal. (2025). ANALYSIS OF MULTIPLE REGRESSION ALGORITHMS TO PREDICT THE VEHICLE RESALE VALUE. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY, 16(2), 443-451. https://doi.org/10.34218/IJCET_16_02_031