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Dataset之GermanCreditData:GermanCreditData数据集的简介、下载、使用方法之详细攻略
2022-06-23 12:35:00 【一个处女座的程序猿】
Dataset之GermanCreditData:GermanCreditData数据集的简介、下载、使用方法之详细攻略
目录
GermanCreditData数据集的简介

德国信用数据,该数据集来自汉堡大学统计与计量研究所的教授,Hans Hofmann博士所收集制作。
1、数据集描述
备注:DM指德国货币—马克,1DM≈11RMB
字段英文 | 中文 | 描述 | |
7个数值型 | Duration in month | 月持续时间 | |
Credit amount | 信用额度 | ||
Installment rate in percentage of disposable income | 分期付款率占可支配收入的百分比 | ||
Present residence since | 现居住地至今 | ||
Age in years | 年龄 | ||
Number of existing credits at this bank | 这家银行的现有信贷数量 | ||
Number of people being liable to provide maintenance for | 有责任为其提供维修服务的人数 | ||
13个类别型 | Status of existing checking account | 现有支票账户的状态 | A11 : ... < 0 DM A12 : 0 <= ... < 200 DM A13 : ... >= 200 DM /salary assignments for at least 1 year至少 1 年的工资分配 A14 : no checking account无账户 |
Credit history | 信用记录 | A30 : no credits taken/all credits paid back duly A31 : all credits at this bank paid back duly A32 : existing credits paid back duly till now A33 : delay in paying off in the past A34 : critical account/other credits existing (not at this bank) | |
Purpose | 目的 | A40 : car (new) A41 : car (used) A42 : furniture/equipment A43 : radio/television A44 : domestic appliances A45 : repairs A46 : education A47 : (vacation - does not exist?) A48 : retraining A49 : business A410 : others | |
Savings account/bonds | 储蓄账户/债券 | A61 : ... < 100 DM A62 : 100 <= ... < 500 DM A63 : 500 <= ... < 1000 DM A64 : .. >= 1000 DM A65 : unknown/ no savings account | |
Present employment since | 至今工作至今 | A71 : unemployed A72 : ... < 1 year A73 : 1 <= ... < 4 years A74 : 4 <= ... < 7 years A75 : .. >= 7 years | |
Personal status and sex | 个人地位和性别 | A91 : male : divorced/separated A92 : female : divorced/separated/married A93 : male : single A94 : male : married/widowed A95 : female : single | |
Other debtors / guarantors | 其他债务人/担保人 | A101 : none A102 : co-applicant A103 : guarantor | |
Property | 财产 | A121 : real estate A122 : if not A121 : building society savings agreement/life insurance A123 : if not A121/A122 : car or other, not in attribute 6 A124 : unknown / no property | |
Other installment plans | 其他分期付款计划 | A141 : bank A142 : stores A143 : none | |
Housing | 住房 | A151 : rent A152 : own A153 : for free | |
Job | 工作 | A171 : unemployed/ unskilled - non-resident A172 : unskilled - resident A173 : skilled employee / official A174 : management/ self-employed/highly qualified employee/ officer | |
Telephone | 电话 | A191 : none A192 : yes, registered under the customers name | |
foreign worker | 外籍工人 | A201 : yes A202 : no |
GermanCreditData数据集的下载
数据集链接:UCI Machine Learning Repository
GermanCreditData数据集的使用方法
相关案例
ML之LoR:基于信用卡数据集利用LoR逻辑回归算法实现如何开发通用信用风险评分卡模型之全流程讲解_一个处女座的程序猿的博客-CSDN博客
https://blog.csdn.net/qq_41185868/article/details/125418213
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