Table 1 Database and variables used in the analysis
From: Machine learning predictivity applied to consumer creditworthiness
Variable | Description | Value | Meaning (for classes) |
|---|---|---|---|
Residence Situation | Show the residence status of the borrower at the moment the loan is granted. | 1 | Nothing to declare |
2 | Rented | ||
3 | Live with parents | ||
4 | Others | ||
4 | Corporate assigned | ||
5 | Owned | ||
6 | Financed by others institutions | ||
7 | Financed by the lending bank | ||
Previous register of default | Shows if the borrower has a record on a public database for default clients. | 1 | Doesn’t have any record. |
2 | Record expunged after payment of the debt | ||
3 | Have an open record | ||
Formal job | Evaluate if the borrower has a formal job | 1 | Doesn’t have |
2 | Have | ||
Deposit advance | Measures the number of days between the last day the borrower received some money and the date of the analysis | \(\ge\) 0 | |
Bad check | Show 1 if the borrower issued a bad check and 0 otherwise | \(\ge\) 0 | |
Checking accounts | Measures the number of checking accounts of the borrower at the time of the loan | \(\ge\) 0 | |
Savings accounts | Measures the number of savings accounts of the borrower at the time of the loan | \(\ge\) 0 | |
Formal gross income | Measure the formal gross income of the borrower | \(\ge\) 0 | |
Total gross income | The sum of any gross income of the borrower, reducing the importance of informal incomes | \(\ge\) 0 | |
Net income | The sum of any net income, reducing the importance of informal incomes | \(\ge\) 0 | |
Account | Show if the borrower has an account at the time of the loan | 1 | Checking account |
2 | Does not have checking account | ||
Age | Borrower’s age at the time of the application | \(\ge\) 0 | |
Time of formal income | The quantity of days of formal income | \(\ge\) 0 | |
Time of informal income | The quantity of days of informal income | \(\ge\) 0 | |
Education | Level of education from the borrower at the time of the loan. | 468 | Incomplete Elementary school |
469 | Elementary school | ||
470 | Incomplete High school | ||
471 | Complete High school | ||
472 | Incomplete Bachelor | ||
473 | Complete Bachelor | ||
474 | Master | ||
799 | MBA | ||
800 | Doctorate | ||
801 | illiterate | ||
ZIP code | The first two number of the ZIP code from the borrower’s house | \(\ge\) 0 | |
Marital status | Show the marital status of the client | 475 | Single |
476 | Married with community of all goods | ||
477 | Married with partial community | ||
478 | Married without community | ||
479 | Separated | ||
480 | Divorced | ||
481 | Widowed | ||
482 | Other | ||
Dependents with income | The quantity of borrower’s dependents with income | \(\ge\) 0 | |
Dependents without income | The quantity of borrower’s dependents without income | \(\ge\) 0 | |
Dependents net income | The sum of every informed income from the borrower’s dependents | \(\ge\) 0 | |
Loan gross value | The gross value of the loan | 260 \(\le\) x \(\le\) 10,000 | |
Maximum time to default | Show the maximum number of the day that the client delayed payment | \(\ge\) 0 | |