Bank Accounts
Here you can predict if a bank account will be defaulted based on personal informations of the customer and his payments history
Please carefully review the following guidelines before uploading your files:
1. File Format: Ensure that your file is either in .xlsx or .xls format.
2. Required Columns:
- SEX
- EDUCATION
- MARRIAGE
- LIMIT_BAL
- AGE
- PAY_0
- PAY_2
- PAY_3
- PAY_4
- PAY_5
- PAY_6
- BILL_AMT1
- BILL_AMT2
- BILL_AMT3
- BILL_AMT4
- BILL_AMT5
- BILL_AMT6
- PAY_AMT1
- PAY_AMT2
- PAY_AMT3
- PAY_AMT4
- PAY_AMT5
- PAY_AMT6
3. Column Names: Make sure that the column names match exactly with the list provided above.
4. SEX Column: This column should have two possible values: 1 for male and 2 for female.
5. EDUCATION Column: This column should have five possible values: 1 for graduate school, 2 for university, 3 for high school, 4 for other, and 5 for unknown.
6. MARRIAGE Column: This column should have three possible values: 1 for married, 2 for single, and 3 for other.
7. PAY_0, PAY_2, PAY_3, PAY_4, PAY_5, PAY_6 Columns: These columns represent the payment status for September, August, July, June, May, and April, respectively.
8. PAY_0, PAY_2, PAY_3, PAY_4, PAY_5, PAY_6 Columns: Each of these columns should have ten possible values, ranging from -1 to 9, representing different payment delay durations.
9. BILL_AMT1, BILL_AMT2, BILL_AMT3, BILL_AMT4, BILL_AMT5, BILL_AMT6 Columns: These columns represent the billing amounts for September, August, July, June, May, and April, respectively.
10. PAY_AMT1, PAY_AMT2, PAY_AMT3, PAY_AMT4, PAY_AMT5, PAY_AMT6 Columns: These columns represent the payment amounts for September, August, July, June, May, and April, respectively.
11. LIMIT_BAL Column: This column represents the limit balance of the account.
Please make sure to adhere to these guidelines diligently to ensure a smooth file upload process.
If you have any questions or need further assistance, do not hesitate to reach out to our support team.
Bank Accounts statistics
Here you can see the distribution of features
Bank Accounts statistics
Here you can see the distribution of features depending defaulted accounts