pppereira3/HW4_CLASSIFICATION_mar_mean_imputed

该数据集包含客户的个人信息和订阅行为数据，具体包括客户ID、年龄、使用时长、使用频率、支持电话次数、支付延迟、总消费、最后互动时间、性别（女性/男性）、订阅类型（基础/高级/标准）和合同长度（年度/月度/季度）。此外，数据集包含一个目标字段，可能是用于预测客户流失或其它业务相关的目标变量。数据集分为训练集和测试集，可用于机器学习模型的训练和评估。The dataset contains customer information and subscription behavior data, including 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). Additionally, the dataset includes a target field, which may be used for predicting customer churn or other business-related target variables. The dataset is split into training and test sets for machine learning model training and evaluation.