银行客户认购产品预测数据集

银行客户认购产品预测数据集
赛题以银行产品认购预测为背景，想让你来预测下客户是否会购买银行的产品。在和客户沟通的过程中，我们记录了和客户联系的次数，上一次联系的时长，上一次联系的时间间隔，同时在银行系统中我们保存了客户的基本信息，包括：年龄、职业、婚姻、之前是否有违约、是否有房贷等信息，此外我们还统计了当前市场的情况：就业、消费信息、银行同业拆解率等。

Bank Customer Product Subscription Prediction Dataset
This competition task is centered on bank product subscription prediction, with the goal of predicting whether a customer will purchase a bank product. During customer communication, we have recorded the number of contacts with the customer, the duration of the last contact, and the time interval since the last contact. In addition, the bank's system stores the customer's basic information, including age, occupation, marital status, prior default history, whether the customer holds a housing loan, and other relevant details. We have also collected current market data, covering employment conditions, consumer information, inter-bank offered rates, and other related metrics.

搜集汇总

背景与挑战

背景概述

该数据集用于银行客户产品认购预测，包含客户基本信息、联系记录和市场情况等多维度特征，旨在通过机器学习模型预测客户购买行为，评价标准为分类准确率。