Note: Not all explanatory functionality is available for multinomial classification scenarios.
Driverless AI provides explanations for completed models. You can view these by clicking the Explanations button on the Model Interpretation > Surrogate Models Dashboard page for an interpreted model.
The UI lets you view global, cluster-specific, and local reason codes. You can also export the explanations to CSV.
Global Reason Codes: To view global reason codes, click Cluster and select Global from the list of options. With Global selected, click the Explanations button located in the upper-right corner.
Cluster Reason Codes: To view reason codes for a specific cluster, click Cluster and select a specific cluster from the list of options. With a cluster selected, click the Explanations button.
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 or Feature Value field. With a value selected, click the Explanations button.
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 ID from the drop-down menu (if it meets the logic of being an identifier column), and then specify a value. With a value selected, click the Explanations button.