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Credit Scoring

  • Lenders must judge if an applicant is sufficiently reliable to be granted the loan.
  • Traditional statistical models are not as robust as machine learning approaches when additional information is added to the risk assessment.
  • This application automatically extracts predictive signals from previous applications and other characteristics such as demographic information and previous payments or defaults.
  • Improve decision making by incorporating the scores produced by this application.
GET APP Feature Labs makes it easy to connect to your data and deploy

How it Works

This application is ready to be deployed to provide value right away.

To get started, you just need to map your data to the required inputs. From there, Feature Labs’ data science automation will take care of the rest. The application will automatically

  • Extract historical examples to learn from
  • Identify predictive signal using Deep Feature Synthesis
  • Select and optimize a machine learning model for deployment

This application is not a black box. After the initial integration is made, it is simple for a developer to add additional data sources, tweaking the prediction problem, and deeply inspect how each step in the process works.

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