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By using SQL Server 2016 with R Services, a lending institution can make use of predictive analytics to reduce the number of loans they offer to those borrowers most likely to default, thereby increasing the profitability of their loan portfolio.
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This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to predict whether a bank loan will need to be charged off within the next three months