Research Article
Research on Efficiency in Credit Risk Prediction Using Logistic-SBM Model
Table 6
Order of feature importance.
| No. | Features | Importance | Cum_importance |
| 1 | Product name | 0.204 | 0.204 | 2 | Family aware | 0.086 | 0.29 | 3 | Age | 0.066 | 0.356 | 4 | Inapv_idr | 0.065 | 0.420 | 5 | Entry date | 0.060 | 0.480 | 6 | Birthday | 0.060 | 0.540 | 7 | Inapv_edr | 0.058 | 0.599 | 8 | DEA_score | 0.056 | 0.655 | 9 | Home type | 0.054 | 0.709 | 10 | Pro_id | 0.047 | 0.756 | 11 | Sales department | 0.046 | 0.803 | 12 | Job type | 0.046 | 0.849 | 13 | Education | 0.044 | 0.893 | 14 | Company | 0.043 | 0.936 | 15 | Bank | 0.041 | 0.977 | 16 | Pay_method | 0.023 | 1.000 |
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