.. _mli-explanations: Viewing Explanations -------------------- **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. .. raw:: html Multinomial Decision Tree - **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. .. raw:: html Multinomial Decision Tree - **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. .. raw:: html Local Reason Codes by Row Number - **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. .. raw:: html Local Reason Codes by ID