id | |
limit_bal | Amount of given credit in NT dollars (includes individual and family/supplementary credit |
sex | |
education | 1=graduate school, 2=university, 3=high school, 4=others, 5=unknown, 6=unknown |
marriage | 1=married, 2=single, 3=others |
pay_0 | Repayment status in September – April, 2005
-1=pay duly, 1=payment delay for one month, 2=payment delay for
two months, … 8=payment delay for eight months, 9=payment delay for
nine months and above |
pay_2 | Repayment status in August, 2005 (scale same as above) |
pay_3 | Repayment status in July, 2005 (scale same as above) |
pay_4 | Repayment status in June, 2005 (scale same as above) |
pay_5 | Repayment status in May, 2005 (scale same as above) |
pay_6 | Repayment status in April, 2005 (scale same as above) |
bill_amt1 | Amount of bill statement in September, 2005 |
bill_amt2 | Amount of bill statement in August, 2005
|
bill_amt3 | Amount of bill statement in July, 2005
|
bill_amt4 | Amount of bill statement in June, 2005
|
bill_amt5 | Amount of bill statement in May, 2005
|
bill_amt6 | Amount of bill statement in April, 2005
|
pay_amt1 | Amount of previous payment in September, 2005 |
pay_amt2 | Amount of previous payment in August, 2005
|
pay_amt3 | Amount of previous payment in July, 2005
|
pay_amt4 | Amount of previous payment in June, 2005
|
pay_amt5 | Amount of previous payment in May, 2005
|
pay_amt6 | Amount of previous payment in April, 2005
|
date | |
amount | |
default.payment.next.month | default payment (this is the variable we want to predict) |
