Used Car Price Evaluation using three Different Variants of Linear Regression

Abstract

This paper exhibits car price estimation framework with the application of three variants of linear regression models. Multivariable Linear Regression, Lasso Regression and Ridge Regression being two different variants of Linear Regression, by applying three different regression models we will select the one with highest accuracy rate for car price estimation. This research is presenting a framework in which price is estimated entity which is anticipated, and the value of car dependent on features like car’s makerMD, modelBR, mileageML, manufactureMR yearDT, engineHP displacementDS, enginepowerEP, bodytypeBT, transmissionMT,combustiontype and pricePkr.