首页|Universitas Muslim Indonesia Researcher Updates Understanding of Machine Learnin g (Predicting Online Gaming Behaviour Using Machine Learning Techniques)
Universitas Muslim Indonesia Researcher Updates Understanding of Machine Learnin g (Predicting Online Gaming Behaviour Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom the Universitas Musl im Indonesia by NewsRx correspondents, research stated, “Understanding playerbe haviour in online gaming is essential for enhancing user engagement and retentio n. This study utilizesa dataset from Kaggle, capturing a wide range of player d emographics and in-game metrics to predictplayer engagement levels categorized as ‘High,’ ‘Medium,’ or ‘Low.’ The dataset includes features suchas age, gender , location, game genre, playtime, in-game purchases, game difficulty, session fr equency,session duration, player level, and achievements.”
Universitas Muslim IndonesiaCyborgsE merging TechnologiesMachine Learning