Predicting Steam Games Rating with Regression

This paper tries to find out the best regression model predict rating of video games. It is done by comparing multiple variables related Metascore, such as genres and player count. In order be able get accurate results, we gather some data scraping them from Steam combining with public data. The games in this study are since it one largest computer distributors. study, evaluate several models, Linear regression, Decision Tree, Random Forest game rating. experiment shows that tree-based model, LightGBM performed better than any other method, R 2 score above 0.9.