The widely used Statlog German credit dataset $($click here Download click here$),$ named 'South German Credit' data, contains some important features $($i$.$e$.,$ variables$)$ related to a debtor, which can be used to predict if there is a credit risk once the debtor has applied for loans from the bank.

ID#: Users$$ ID

duration: Credit duration in months $($in the range of $0$ and $1200)$

purpose: Purpose for which the credit is needed $($Ten levels: furniture, car$($used$),$ car$($new$),$ retraining, repairs, domestic appliances, business, television, vacation, others$)$

employment$\_$duration: Duration of debtor's employment with the current employer $($Five levels: unemployed, less than $1$ year, $1-4$ years, $4-7$ years, more than $7$ yrs$)$

age: Age expressed in years $($in the range of $18-75)$

housing: Type of housing the debtor lives in $($Three levels: rent, own, for free$)$

foreign$\_$worker: Is the debtor a foreign worker? $($Two levels: Yes, No$)$

number$\_$credits: Number of credits including the current one the debtor has $($or had$)$ at this bank $($Four levels: $1,2-3,4-5,$ equal or more than $6)$

credit$\_$history: The credit history of the debtor $($Five Levels$)$

$0$ : delay in paying off in the past

$1$ : critical account$/$other credits elsewhere

$2$ : no credits taken$/$all credits paid back duly

$3$ : existing credits paid back duly till now

$4$ : all credits at this bank paid back duly

amount: Amount requested by the debtor $($in the range of $1$K and MAX$)$

installment$\_$rate: Credit installments as a percentage of debtor's disposable income $($Four levels$)$:

$1$ : $>=35$

$2$ : $25<=...<35$

$3$ : $20<=...<25$

$4$ : $<20$

credit$\_$risk: Credit risk assessed as the potential that a borrower fails to meet its obligations $($Two levels: good, bad$)$