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.

搜集汇总

背景与挑战

背景概述

该数据集是一个AI生成的小型表格数据集，专注于游戏会话分析，包含100行数据，涵盖会话长度、游戏类型、游戏内购买和用户评分等特征，旨在通过标签分类（如休闲玩家、硬核玩家）来洞察用户行为和留存模式，适用于机器学习实践者研究用户参与度。