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Estimating transaction risk using sub-models characterizing cross-interaction among categorical and non-categorical variables
Estimating transaction risk using sub-models characterizing cross-interaction among categorical and non-categorical variables
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机译:使用描述分类变量和非分类变量之间交互作用的子模型估算交易风险
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摘要
In one aspect, input data for a predictive model characterizing a level of risk for a data transaction is received that includes values for categorical variables and one or more of binary variables and continuous variables the predictive model. Thereafter, one or more of the categorical variables is associated with one of a plurality of keys. Each key having corresponding coefficients for at least a subset of the binary variables and the continuous variables and the coefficients being dependent on a value for the key. A composite value based on values for each of at least a subset of the binary variables and the continuous variables as calculated using the corresponding coefficients for each key can then be generated. Scoring of the data transaction using the binary variables, the continuous variables, and the composite variables can then be initiated by the predictive model. Related apparatus, systems, techniques and articles are also described.
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