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pppereira3/HW4_CLASSIFICATION_mnar_iter_imputed

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Hugging Face2025-01-26 更新2025-02-15 收录
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https://hf-mirror.com/datasets/pppereira3/HW4_CLASSIFICATION_mnar_iter_imputed
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资源简介:
该数据集包含客户的个人信息和消费行为特征,可用于预测某种目标变量。具体特征包括客户ID、年龄、在网时长、使用频率、支持电话次数、支付延迟、总消费、最后互动时间,以及性别和订阅类型等信息。数据集分为训练集和测试集,共计约44万条记录。

The dataset includes customer personal information and consumption behavior features, which can be used to predict a target variable. Specific features include CustomerID, Age, Tenure, Usage Frequency, Support Calls, Payment Delay, Total Spend, Last Interaction, as well as Gender and Subscription Type information. The dataset is divided into training and test sets, totaling approximately 440,000 records.
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pppereira3
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