A Random Forest-based Classification Method for Prediction of Car Price
K. Vengatesan, Rohit Ravindra Nikam, S. Yuvaraj, Ankoshe Malakappa Shankar, Punjabi Shivkumar Tanesh and Abhishek Kumar
Data analytics is playing an important role in e-commerce, in which the classification algorithms
like linear regression and Random forest help in buying and selling the product as per market demand. Customer
needs identification is a very challenging task. In this proposed work, we have developed an algorithm to predict the
price of a car based on the various attributes of the car. In this work, two algorithms: linear regression and the
random forest were implemented which can predict the correct market value of a car model for the considered data
set and the results are compared using various statistical parameters.
Volume: Volume 24
Issues: Issue 3
Keywords: Prediction, Classification, Linear Regression, Random Forest.