telecom churn (cell2cell)

Nowadays, telecom industry faces fierce com-petition in satisfying its customers. The role of churn prediction system is not only restricted to accurately predict churners but also to interpret customer churn behavior.

Cell2Cell dataset is preprocessed and a balanced version provided for analyzing Process. consists of 71,047 instances and 58 attributes.
guys you can try with data set.
try Machine learning algorithms and deep leaning algorithms
find measures like accuracy, ROC, AUC

当今，电信行业在满足客户需求方面面临着激烈的竞争。客户流失预测系统的作用不仅限于准确预测流失客户，还在于阐释客户流失行为。Cell2Cell 数据集已进行预处理并提供了一个平衡版本以供分析。该数据集包含 71,047 个实例和 58 个属性。各位可以尝试使用此数据集。尝试机器学习算法和深度学习算法，寻找诸如准确率、ROC 曲线和 AUC 等指标。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于电信客户流失预测的平衡数据集，包含71,047个实例和58个属性，适用于机器学习和深度学习算法的应用，旨在帮助分析客户流失行为并预测潜在流失客户。