Research Article
Establishment of the Credit Indicator System of Micro Enterprises Based on Support Vector Machine and R-Type Clustering
Table 4
The results of first round of indicator selection based on SVM.
| Serial number | (a) Criteria layer | (b) Indicator name | (%) | (%) | Selection results |
| 0 | — | All indicators | 83.03 | — | — |
| 1 | Internal financial factors | Quick ratio | 91.37 | 8.37 | Delete | | | | | | 35 | The ratio of EBITDA and total debt | 83.03 | 0.00 | Delete |
| 36 | Nonfinancial factors within the enterprise | The years of employment in relevant industry | 74.70 | −8.33 | Retain | | | | | | 62 | Gender | 83.03 | 0.00 | Delete |
| 63 | External macro environmental factors | The growth rate of GDP | 83.03 | 0.00 | Delete | | | | | | 68 | Pledge score | 74.70 | −8.33 | Retain |
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