Germancreditdata of dataset: a detailed introduction to the introduction, download and use of germancreditdata dataset

Dataset And GermanCreditData：GermanCreditData Introduction to dataset 、 download 、 A detailed introduction to how to use

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GermanCreditData Introduction to dataset

1、 Data set description

GermanCreditData Data set download

GermanCreditData How to use data sets

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GermanCreditData Introduction to dataset

         German credit data , The data set is from a professor at the Institute of statistics and metrology, University of Hamburg ,Hans Hofmann Collected and produced by Dr .

1、 Data set description

remarks ：DM Means German currency — mark ,1DM≈11RMB

	Field English	chinese	describe
7 A numeric type	Duration in month	Month duration
	Credit amount	Line of credit
	Installment rate in percentage of disposable income	Installment rate as a percentage of disposable income
	Present residence since	Current residence till now
	Age in years	Age
	Number of existing credits at this bank	The amount of credit this bank has
	Number of people being liable to provide maintenance for	The number of people responsible for providing maintenance services
13 Category type	Status of existing checking account	Status of existing checking accounts	A11 :      ... <    0 DM A12 : 0 <= ... <  200 DM A13 :      ... >= 200 DM /salary assignments for at least 1 year At least 1 Salary distribution in A14 : no checking account No account
	Credit history	Credit record	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	Purpose	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	A savings account / bond	A61 :          ... <  100 DM A62 :   100 <= ... <  500 DM A63 :   500 <= ... < 1000 DM A64 :          .. >= 1000 DM A65 :   unknown/ no savings account
	Present employment since	Work till now	A71 : unemployed A72 :       ... < 1 year A73 : 1  <= ... < 4 years   A74 : 4  <= ... < 7 years A75 :       .. >= 7 years
	Personal status and sex	Personal status and gender	A91 : male   : divorced/separated A92 : female : divorced/separated/married A93 : male   : single A94 : male   : married/widowed A95 : female : single
	Other debtors / guarantors	Other debtors / guarantee	A101 : none A102 : co-applicant A103 : guarantor
	Property	property	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	Other installment plans	A141 : bank A142 : stores A143 : none
	Housing	housing	A151 : rent A152 : own A153 : for free
	Job	Work	A171 : unemployed/ unskilled  - non-resident A172 : unskilled - resident A173 : skilled employee / official A174 : management/ self-employed/highly qualified employee/ officer
	Telephone	Telephone	A191 : none A192 : yes, registered under the customers name
	foreign worker	Foreign workers	A201 : yes A202 : no

   

GermanCreditData Data sets download

Dataset Links ：UCI Machine Learning Repository

GermanCreditData How to use data sets

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https://blog.csdn.net/qq_41185868/article/details/125418213