地球资源数据云——数据资源详情
电信客户流失预测
该数据集《 Telecom Customer Churn Prediction》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Why customers churn? How can you improve customer retention? 任务类型：文本回归/预测。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：telecom_customer_churn.csv, telecom_data_dictionary.csv, telecom_zipcode_population.csv。 Contents This dataset contains 2 tables, in CSV format: The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022 Each record represents one customer, and contains details about their demographics, location, tenure, subscription services, status for the quarter (joined, stayed, or churned), and more! The Zip Code Population table contains complimentary information on the estimated populations for the California zip codes in the Customer Churn table Collection Methodology The public dataset is completely available on the Maven Analytics website platform where it stores and consolidates all available datasets for analysis in the Data Playground. The specific telecom customer churn dataset at hand can be obtained in this link below: https://www.mavenanalytics.io/blog/maven - churn - challenge
摘要概览
该数据集《 Telecom Customer Churn Prediction》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Why customers churn? How can you improve customer retention?
任务类型：文本回归/预测。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：telecom_customer_churn.csv, telecom_data_dictionary.csv, telecom_zipcode_population.csv。
Contents This dataset contains 2 tables, in CSV format:
The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022
Each record represents one customer, and contains details about their demographics, location, tenure, subscription services, status for the quarter (joined, stayed, or churned), and more!
The Zip Code Population table contains complimentary information on the estimated populations for the California zip codes in the Customer Churn table
Collection Methodology The public dataset is completely available on the Maven Analytics website platform where it stores and consolidates all available datasets for analysis in the Data Playground. The specific telecom customer churn dataset at hand can be obtained in this link below: https://www.mavenanalytics.io/blog/maven - churn - challenge