Research Article

Toward an Efficient and Effective Credit Scorer for Cross-Border E-Commerce Enterprises

Table 2

IV coefficient values and value for some features.

FeatureIVCoefficient value in final model value

Inspection hit rate of goods0.9251.2453<0.01
Percentage of related tiny transport enterprises0.7941.2921<0.01
High amount from the same payer0.7661.1201<0.01
Record of execution on dishonesty0.7010.64630.0512
Average age of the buyer0.5630.69980.0295
Consistency of the buyer and payer0.3430.65250.0242
Abnormal contact details0.004āˆ’1.02020.0139
Related transport enterprise has a record of dishonesty0.1211.43090.0332

value is the significance level of the features calculated according to the actual statistics, and a value lower than 0.05 indicates a significant difference.