Credit_Risk_Model

Parameters in the dataset :

  • id
  • age
  • years_employment
  • years_at_address
  • income
  • credit_card_debt
  • automobile_debt
  • outcomes

Objective:

To use Logistic Regression to analyze the credit risk worthiness of an applicant.

Result:

Prepared a suitable model with a set threshold to predict the outcome(Approve/Deny) Also, the model is able to optimize the cost per application.