Skip navigation

Loan ChargeOff Prediction with SQL Servercha

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.

Loan ChargeOff Prediction with SQL ServerchaThis 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

Disclaimer

©2017 Microsoft Corporation. All rights reserved. This information is provided “as is” and may change without notice. Microsoft makes no warranties, express or implied, with respect to the information provided here. Third-party data was used to generate the solution. You are responsible for respecting the rights of others, including procuring and complying with relevant licences in order to create similar datasets.

Loan ChargeOff Prediction with SQL ServerchaThis 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

Related solution architectures

Loan Credit Risk with SQL ServerBy 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.

Loan Credit Risk with SQL Server

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.