The output table is a set of predictions for each test point. The following table describes the output table schema.
| Column | Data Type | Description |
|---|---|---|
| accumulate_column | Same as in input table | Column copied from the input table. |
| id_column | Same as in input table | Column copied from the input table. |
| prediction | DOUBLE PRECISION | Predicted value of the test point, as generated by the model. |
| confidence_lower | DOUBLE PRECISION | Lower bound of the confidence interval. |
| confidence_upper | DOUBLE PRECISION | Upper bound of the confidence interval. |
| tree_num | VARCHAR | Either the catenation of task_index and tree_num from the model table, to show which tree generated the prediction, or 'final' to show the overall prediction. This column appears only if you specify Detailed ('true'). |
By design, for the classification tree, the columns confidence_lower and confidence_upper contain the same value.