This function outputs one or more columns of XML. You can transform the XML to HTML, which is easier to view—see Reports.
The following table describes the function results data. If the function creates an output table, the bold columns comprise its Unique Primary Index (UPI).
Column | Data Type | Description |
---|---|---|
index_column | Same as in input table. | [Column appears once for each index column.] Column that is, or is part of, output table UPI. index_column is defined in input table (default) or specified by index. |
retain_column | Same as in input table. | [Column appears once for each column specified by retain.] Columns copied from input table. |
predicted_column | Same as in input table. | Predicted value of dependent variable. predicted_column is defined in input table (default) or specified by predicted. |
_tm_node_id | FLOAT | [Column appears only if profiletables=true.] Leaf node in decision tree (and set of rules it represents). |
_tm_confidence | FLOAT | [Column appears only if includeconfidence=true.] Confidence that model can predict correct score for leaf node. |
_tm_target | FLOAT | [Column appears only if targetedvalue=true.] Confidence that model can predict correct binary result for leaf node. |
Additional Output Tables if profiletables=true
Name | Type | Description |
---|---|---|
_tm_node_id | FLOAT | Leaf node in decision tree. |
_tm_confidence | FLOAT | [Column appears only if includeconfidence=true.] Confidence that model can predict correct score for leaf node. |
_tm_target | FLOAT | [Column appears only if targetedvalue=true.] Confidence that model can predict correct binary result for leaf node. |
_tm_prediction | VARCHAR | Predicted value of dependent variable at leaf node. |
Name | Type | Description |
---|---|---|
_tm_node_id | FLOAT | Leaf node in decision tree. |
_tm_sequence_id | FLOAT | Integer identifying rule in leaf node. |
_tm_rule | VARCHAR | Rule for inclusion in rule set for leaf node (rules are joined with logical AND). |