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Machine Learning

Machine learning delivers an even more accurate and inclusive scoring model

VantageScore 4.0 scores approximately 30 million consumers who cannot obtain credit scores when conventional scoring models are used. To further enhance the accuracy of scores assigned to this previously unscoreable population, VantageScore 4.0 scientists leveraged machine learning techniques in their development of scorecards for those with dormant credit histories (i.e., those with scoreable trades but with no update to their credit file in six months).

This has led to a performance lift of 16.6 percent and 12.5 percent in the bankcard and auto originations categories for consumers with dormant credit files. This innovation helps bridge the gap between access to mainstream credit and those consumers without deep credit histories who have traditionally been shut out of lenders’ automated underwriting systems.

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