Akademik Veri Yönetim Sistemi
International Journal of Computational and Experimental Science and Engineering, cilt.9, sa.1, ss.11-16, 2023 (Scopus)
Recently, there have been studies on the use of machine learning algorithms for price prediction in many different areas such as stock market, rent a house and used car sales. Studies give information about which algorithm is more successful in price prediction using different machine learning methods. The most commonly used method for price prediction is the linear regression model. In this study, the effectiveness of the linear regression model was examined for used car price prediction. The linear regression model was applied to the data set that includes the features and price information of vehicles in Turkey as the year 2020. As a result, when we selected 1/3 of the data set as the test data, it was observed that the R2 score for the prediction success of model was 73%. To improve the effectiveness of the results the dataset could be extend or preprocessing part be detailed.