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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Car Resale Value Prediction System using Linear Regression, Decision Tree, and Random Forest Algorithms
Authors
Prathyush NP, Rohit Kumar V, Siavnarutchselvan AS
Keywords
Used Car Price Prediction, Machine Learning, Linear Regression, Random Forest, Data Analytics, Automotive Industry.
Abstract
We propose a machine learning approach to leverage past vehicle sales data to forecast the approximate value used cars will fetch when they are resold. The model employs Linear Regression and Random Forest algorithms to make predictions based on key variables such as the car's age, mileage, fuel type, engine capacity, transmission type, and make. A comprehensive set of experiments is carried out to assess the effect of various variables on the accuracy of the predictions, as well as to compare the performance of the two models with different data scenarios. The experiment outcomes clearly show that the Random Forest model performs better than the Linear Regression model by accounting for the non-linear relationships that exist in practical automobile sales data.
IJCRT's Publication Details
Unique Identification Number - IJCRT2603099
Paper ID - 302363
Page Number(s) - a798-a815
Pubished in - Volume 14 | Issue 3 | March 2026
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Prathyush NP, Rohit Kumar V, Siavnarutchselvan AS, "Car Resale Value Prediction System using Linear Regression, Decision Tree, and Random Forest Algorithms", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 3, pp.a798-a815, March 2026, Available at :http://www.ijcrt.org/papers/IJCRT2603099.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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