This invention discloses a method, apparatus, device, and storage medium for credit assessment of campus card deduction transactions, relating to the technical field of campus card systems. The method includes: acquiring deduction transaction
information data of the user to be assessed; constructing a
feature matrix of independent variables with multiple dimensions, whereby the deduction transaction
information data includes transaction behavior data and
user information data; mapping the original feature values in the
feature matrix of independent variables to corresponding WOE values according to a pre-constructed
feature mapping rule, wherein the pre-constructed
feature mapping rule is obtained after optimal binning of historical sample data based on the DFS binning
algorithm; inputting the mapped WOE values into a pre-trained
logistic regression model to calculate the user's
risk quantification score; and generating
risk control instructions based on the comparison result between the
risk quantification score and a preset threshold. This application can solve the risk of overdue payments and bad debts under the campus card deduction model, realizing accurate assessment and automated hierarchical management of user credit risk.