Machine Learning In Credit Risk
In credit underwriting modelling, BOMB can help in identifying risky customers and at the same time screen more revolvers (customers who pay interest regularly for revolving) than transactors, thus achieving twin goals of higher revenue and improved profitability. BOMB can combine two very different modelling objectives into one single machine learning exercise achieving both the […]
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