Statlog German Credit
- German Credit Data Set Arff Downloads
- German Credit Data Set Arff Download Online
- German Credit Data Set Arff Download Free
Sample Weka Data Sets Below are some sample WEKA data sets, in arff format. Contact-lens.arff; cpu.arff; cpu.with-vendor.arff; diabetes.arff; glass.arff. Title: German Credit data%% 2. Source Information%% Professor Dr. Hans Hofmann% Institut f'ur Statistik und 'Okonometrie% Universit'at Hamburg% FB Wirtschaftswissenschaften% Von-Melle-Park 5% 2000 Hamburg 13%% 3. Number of Instances: 1000%% Two datasets are provided. The original dataset, in the form provided% by Prof. ### Attribute description 1. Status of existing checking account, in Deutsche Mark. Duration in months 3. Credit history (credits taken, paid back duly, delays, critical accounts) 4. Purpose of the credit (car, television.) 5. Credit amount 6. Status of savings account/bonds, in Deutsche Mark. Present employment, in number of years.
The dataset contains data of past credit applicants. The applicants are ratedas good or bad. Models of this data can be used to determine ifnew applicants present a good or bad credit risk.
- Keywords
- datasets
Usage
Details
The use of a cost matrix is suggested for this dataset. It is worse to class a customer as good when they are bad (cost = 5), than it is to class a customer as bad when they are good (cost = 1).
Format
A data frame containing 1,000 observations on 21 variables.
factor variable indicating the status of the existing checking account, with levels
... < 0 DM
, 0 <= ... < 200 DM
, ... >= 200 DM/salary for at least 1 year
and no checking account
.duration in months.
German Credit Data Set Arff Downloads
factor variable indicating credit history, with levels
no credits taken/all credits paid back duly
, all credits at this bank paid back duly
, existing credits paid back duly till now
, delay in paying off in the past
and critical account/other credits existing
.factor variable indicating the credit's purpose, with levels
car (new)
, car (used)
, furniture/equipment
, radio/television
, domestic appliances
, repairs
, education
, retraining
, business
and others
.credit amount.
factor. savings account/bonds, with levels
... < 100 DM
, 100 <= ... < 500 DM
, 500 <= ... < 1000 DM
, ... >= 1000 DM
and unknown/no savings account
.ordered factor indicating the duration of the current employment, with levels
unemployed
, ... < 1 year
, 1 <= ... < 4 years
, 4 <= ... < 7 years
and ... >= 7 years
.installment rate in percentage of disposable income.
![Data Data](/uploads/1/2/6/6/126618786/972943872.jpg)
factor variable indicating personal status and sex, with levels
male:divorced/separated
, female:divorced/separated/married
, male:single
, male:married/widowed
and female:single
.factor. Other debtors, with levels
none
, co-applicant
and guarantor
.present residence since?
factor variable indicating the client's highest valued property, with levels
real estate
, building society savings agreement/life insurance
, car or other
and unknown/no property
.client's age.
factor variable indicating other installment plans, with levels
bank
, stores
and none
.factor variable indicating housing, with levels
rent
, own
and for free
.number of existing credits at this bank.
factor indicating employment status, with levels
unemployed/unskilled - non-resident
, unskilled - resident
, skilled employee/official
and management/self-employed/highly qualified employee/officer
.German Credit Data Set Arff Download Online
Number of people being liable to provide maintenance.
binary variable indicating if the customer has a registered telephone number.
binary variable indicating if the customer is a foreign worker.
binary variable indicating credit risk, with levels
good
and bad
.Aliases
- GermanCredit
Examples
Community examples
German Credit Data Set Arff Download Free
API documentation