Task 4: Running a predictive model and a decision model

You run the predictive model that you configured earlier and run the decision model that calls the predictive model through a prediction node.

Step 1: Running a predictive model

You run test data sets to validate your predictive model.

  1. From Task 3, you should be in the loan risk score predictive model.
  2. Go to the Run tab.
  3. Select the John Good Score test data set and click Run. The result should look like this:
    {
 "paymentDefault": 0,
 "probability": 1
}

    This means there is no default payment risk, with a probability of 1.

  4. Browse the Run history to review the executed rules.

Step 2: Running a decision model

Next, you run the decision model that uses this predictive model.

  1. Select Loan Validation Decision Model in the Navigation history.
  2. Go to the Run tab and run the John Good Score test data set.

    The loan is approved.

  3. Browse the Run history:
    • The loan risk score rule was triggered.
    • The predictive model successfully called the machine learning model deployment.