A Random Forest-based Classification Method for Prediction of Car Price

Authors

DOI:

https://doi.org/10.61841/r0d11395

Keywords:

Prediction, Classification, Linear Regression, Random Forest

Abstract

Data analytics is playing an important role in e-commerce, in which 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 random forest—were implemented that can predict the correct market value of a car model for the considered data set, and the results are compared using various statistical parameters.

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Published

31.05.2020

Issue

Vol. 24 No. 3 (2020): 24 (3) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

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How to Cite

A Random Forest-based Classification Method for Prediction of Car Price. (2020). International Journal of Psychosocial Rehabilitation, 24(3), 2639-2648. https://doi.org/10.61841/r0d11395