Viewing Explanations

Note: Not all explanatory functionality is available for multinomial classification scenarios.

Driverless AI provides easy-to-read explanations for a completed model. You can view these by clicking the Explanations button on the Model Interpretation > Dashboard page for an interpreted model.

The UI allows you to view global, cluster-specific, and local reason codes. You can also export the explanations to CSV.

  • Global Reason Codes: To view global reason codes, select the Global from the Cluster dropdown.
Global Plot

With Global selected, click the Explanations button beside the Cluster dropdown.

Global Explanations
  • Cluster Reason Codes: To view reason codes for a specific cluster, select a cluster from the Cluster dropdown.
Cluster Plot

With a cluster selected, click the Explanations button.

Cluster Reason Codes
  • Local Reason Codes by Row Number: To view local reason codes for a specific row, select a point on the graph or type a value in the Row Number field.

    Select a value

    With a value selected, click the Explanations button.

    Local Reason Codes
  • Local Reason Codes by ID: Identifier columns cannot be specified by the user - MLI makes this choice automatically by choosing columns whose values are unique (dataset row count equals the number of unique values in a column). To find a row by identifier column, choose Identifier Column from the drop-down menu (if it meets the logic of being an identifier column), and then specify a value.

    Select a value

    With a value selected, click the Explanations button.

    ID explanations