Accessing data for Product Propensity models

After Running training and scoring jobs that calculate values for output attributes, you can do one of the following to access the data.

  • Create an export job and select the ProductPropensity_Score data object to export. You can then review the values in the output attributes.
  • Sample data for the model outputs can be viewed using the Data viewer page. You can view a maximum of 200 records from a data object.

    • An image of the Data viewer

To verify and review with an export job:

  1. Follow the steps for Creating export jobs.
  2. When you get to Step 2: Data payload, for Payload type, select Data object.
  3. In the field for Data object, select ProductPropensity_Score.

When the data object is exported, review the following output attributes.

Attribute Description
SourceProductPropensity_ScoreID The unique identifier for the data object. It is a concatenation of CustomerID and ProductID.
SourceID The unique identifier for the source.
SourceCustomerID The unique identifier for the customer.
ProductID The unique identifier for the product.
SourceProductID The unique identifier for the product originating from the source.
PropensityScore The score generated for the customer. It is a numerical value from 0 to 1.
Status The status that assesses the customer based on the propensity score. A score of under 0.5 generates a value of No buy. A score of over 0.5 generates a value of Buy.

To verify and review using the Data viewer page:

  1. Click the Oracle icon Image of the application navigation button. Use it to access the different parts of Oracle Unity. in the bottom-right corner to open the navigation menu.
  2. Select Data viewer.
  3. Use the drop-down menu for Select or search for data object and select ProductPropensity_Score.

    4. An image of the object selector

  4. Click Filters An image of the filters icon. The Filters dialog displays.

    5. An image of the filters button

  5. Use the drop-down menu to select or search for the following attributes.
    6. Attribute Description
    SourceProductPropensity_ScoreID The unique identifier for the data object. It is a concatenation of CustomerID and ProductID.
    SourceID The unique identifier for the source.
    SourceCustomerID The unique identifier for the customer.
    ProductID The unique identifier for the product.
    SourceProductID The unique identifier for the product originating from the source.
    PropensityScore The score generated for the customer. It is a numerical value from 0 to 1.
    Status The status that assesses the customer based on the propensity score. A score of under 0.5 generates a value of No buy. A score of over 0.5 generates a value of Buy.
  6. Click AddAn image of the Add button.

    7. An image of the Add button

  7. Use the drop-down menu for the output attributes and select the Is not empty operator.

    8. An image of filter operators

  8. Click Apply.
  9. Click Column settingsAn image of the column settings button.

    10. An image of the column settings icon

  10. Click the checkbox for the output attributes to display them.

    11. An image of the column settings window

  11. Click Apply.

You can review values for up to 200 records.

Learn more

Viewing data object records

Viewing data object records

Creating export jobs

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