Year: 2025
Type: article
Abstract: A car price prediction has been a highinterest research area, as it requires noticeable effort and knowledge of the field expert. Considerable number of distinct attributes are examined for the reliable and accurate prediction. To build a model for predicting the price of used cars. We applied machine learning (linear regression , logistic regression, Support Vector Machine and Random Forest). However, the mentioned techniques were applied to work as an ensemble and regressions. The data used for the prediction was collected Respective performances of different algorithms were then compared to find one that best suits the available data set. With the help of algorithms we have to predict the best percentage and also reveal the output with respective algorithms.
Authors: Vemula Venugopal, Shaik Haseena
Institution: Kurnool Medical College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409897727