Enhancing User Experience in PS5 Gaming Through Predictive Analy

Optimizing the user experience on gaming platforms is critical for both players and publishers, especially given the industry's rapid growth. Understanding the factors that influence a game's success is critical. The purpose of this study is to identify and predict the factors that influence a game's popularity and user satisfaction using Kaggle's PS5 Games Dataset: 2024 Update. To predict a game's average rating, the study uses machine learning techniques, specifically a RandomForestRegressor model, which analyzes features such as release date, publisher, age restrictions, and user ratings. The model performed satisfactorily, demonstrating the significant impact of various features on user ratings. Key findings highlight the significance of release dates and publishers in determining a game's success. These accurate predictions can help publishers create more appealing titles and improve the gaming experience for users by identifying the most engaging game characteristics