Prediction of prices for used car by using regression models

For this research, we conducted a comparative study on performance of regression based on supervised machine learning models. Each model is trained using data of used car market collected from German e-commerce website. As a result, gradient boosted regression trees gives the best performance with mean absolute error (MSE) =3D 0.28. . Followed by random forest regression with MSE =3D 0.35 and multiple linear regression with MSE =3D 0.55 respectively.