Research Article
Research on the Method of Predicting Consumer Financial Loan Default Based on the Big Data Model
| Indicator name | Variable name | Is it included in the model | Variable type |
| Default flag | | Yes | Explained variable | Gender | | Yes | Control variable | Age | | Yes | Control variable | Occupation | | Yes | Control variable | Education level | | Yes | Control variable | Marital status | | Yes | Control variable | Annual income | | Yes | Control variable | Loan amount | | Yes | Control variable | Loan term | | Yes | Control variable | Proportion of loan interest rate | | Yes | Control variable | Actual occupied credit ratio | | Yes | Control variable | Average monthly payroll | | Yes | Control variable | Number of loan performances | | Yes | Control variable | Monthly loan frequency | | Yes | Control variable |
|
|