pppereira3/HW4_CLASSIFICATION_mar

该数据集包含了用户的个人信息、订阅信息、合同信息以及一些消费行为特征，可用于客户流失预测、用户细分或其他相关分析。具体特征包括用户ID、年龄、租期、使用频率、支持电话次数、支付延迟、总消费、最后互动时间以及性别（女性、男性）、订阅类型（基础、高级、标准）和合同长度（年、月、季度）。数据集分为训练集和测试集，可用于模型的训练和评估。

The dataset includes user personal information, subscription details, contract information, and some consumption behavior features, which can be used for customer churn prediction, user segmentation, or other related analyses. Specific features include CustomerID, Age, Tenure, Usage Frequency, Support Calls, Payment Delay, Total Spend, Last Interaction, Gender (Female, Male), Subscription Type (Basic, Premium, Standard), and Contract Length (Annual, Monthly, Quarterly). The dataset is split into training and test sets for model training and evaluation.