银行客户认购产品预测

To DO：预测用户是否进行购买产品

字段 说明
age 年龄
job 职业：admin, unknown, unemployed, management…
marital 婚姻：married, divorced, single
default 信用卡是否有违约: yes or no
housing 是否有房贷: yes or no
contact 联系方式：unknown, telephone, cellular
month 上一次联系的月份：jan, feb, mar, …
day_of_week 上一次联系的星期几：mon, tue, wed, thu, fri
duration 上一次联系的时长（秒）
campaign 活动期间联系客户的次数
pdays 上一次与客户联系后的间隔天数
previous 在本次营销活动前，与客户联系的次数
poutcome 之前营销活动的结果：unknown, other, failure, success
emp_var_rate 就业变动率（季度指标）
cons_price_index 消费者价格指数（月度指标）
cons_conf_index 消费者信心指数（月度指标）
lending_rate3m 银行同业拆借率 3个月利率（每日指标）
nr_employed 雇员人数（季度指标）
subscribe 客户是否进行购买：yes 或 no
评价标准： Accuracy (所有分类正确的百分比)

Task: Predict whether a customer will purchase the product.

Field Description
age Age
job Occupation: admin, unknown, unemployed, management, etc.
marital Marital status: married, divorced, single
default Credit default status: yes or no
housing Housing loan status: yes or no
contact Contact method: unknown, telephone, cellular
month Month of the last contact: jan, feb, mar, ...
day_of_week Day of the week of the last contact: mon, tue, wed, thu, fri
duration Duration of the last contact (in seconds)
campaign Number of contacts made to the customer during the current marketing campaign
pdays Number of days since the customer was last contacted
previous Number of contacts with the customer prior to the current marketing campaign
poutcome Outcome of the previous marketing campaign: unknown, other, failure, success
emp_var_rate Employment variation rate (quarterly indicator)
cons_price_index Consumer Price Index (monthly indicator)
cons_conf_index Consumer Confidence Index (monthly indicator)
lending_rate3m 3-month interbank lending rate (daily indicator)
nr_employed Number of employees (quarterly indicator)
subscribe Whether the customer made a purchase: yes or no

Evaluation Criterion: Accuracy (percentage of all correctly classified samples)

搜集汇总

背景与挑战

背景概述

该数据集旨在预测银行客户是否认购产品，包含客户年龄、职业、经济指标等多维特征，并以准确率作为评价标准。数据集提供了训练和测试文件，用于构建分类模型。