infinite-dataset-hub/GamingSessionAnalysis

‘GamingSessionAnalysis’数据集专注于分析用户在游戏会话期间的行为。它的目标是提供关于游戏玩法模式与用户留存度指标的洞察。数据集的结构旨在帮助机器学习从业者理解不同因素如何影响用户的参与度和忠诚度。CSV文件包含会话长度、游戏频率、游戏类型、游戏内购买以及用户评分等特征。‘label’列用于将每个游戏会话分类为‘休闲玩家’、‘硬核玩家’、‘频繁购买者’和‘有流失风险的玩家’。

The GamingSessionAnalysis dataset focuses on analyzing user behavior during gaming sessions. It aims to provide insights into gameplay patterns and user retention metrics. The dataset is structured to help ML practitioners understand how different factors contribute to user engagement and loyalty. The CSV includes features like session length, frequency of play, game genres, in-game purchases, and user ratings. The label column is used to classify each gaming session into categories such as casual player, hardcore player, frequent purchaser, and at-risk of churn.