Actionable Recourse in Linear Classification

Understand

Machine learning models are increasingly used to automate decisions that affect humans - deciding who should receive a loan, a job interview, or a social service.

• In such applications, a person should have the ability to change the decision of a model.
• When a person is denied a loan by a credit score, for example, they should be able to alter its input variables in a way that guarantees approval.
• Otherwise, they will be denied the loan as long as the model is deployed.