About
This data details the creditworthiness of applicants based on the German Credit Data Set from the UCI Machine Learning Repository.
Data
credit_personal.csv
| variable |
description |
| credit_amount |
Credit amount in Deutsche Mark (DEM) |
| age |
Age in years |
| personal_status |
Marriage status and sex |
| job |
Type of job |
| employment |
Years since the present employment started |
| savings_status |
Amount in DEM in savings account/bonds |
| housing |
Housing status |
| residence_since |
Present residence since |
| property_magnitude |
Property type |
| num_dependents |
Number of dependents |
| own_telephone |
If an applicant owns a telephone |
| foreign_worker |
If an applicant is a foreign worker |
credit_financial.csv
| variable |
description |
| checking |
Status of existing checking account |
| duration |
Duration of credit in month |
| credit_history |
Credit history |
| purpose |
Purpose for credit |
| installment_commitment |
Installment rate in percentage of disposable income |
| other_parties |
Other debtors / guarantors |
| other_payment_plans |
Other installment plans |
| existing_credits |
Number of existing credits at this bank |
| class |
Classification of good (1) or bad (2) credit risk |