docs/api-reference/io-columns-tree-featurization-ranking.md
The input label data type must be key type or xref:System.Single. The value of the label determines relevance, where higher values indicate higher relevance. If the label is a key type, then the key index is the relevance value, where the smallest index is the least relevant. If the label is a xref:System.Single, larger values indicate higher relevance. The feature column must be a known-sized vector of xref:System.Single and input row group column must be key type.
This estimator outputs the following columns:
| Output Column Name | Column Type | Description |
|---|---|---|
Trees | Known-sized vector of xref:System.Single | The output values of all trees. Its size is identical to the total number of trees in the tree ensemble model. |
Leaves | Known-sized vector of xref:System.Single | 0-1 vector representation to the IDs of all leaves where the input feature vector falls into. Its size is the number of total leaves in the tree ensemble model. |
Paths | Known-sized vector of xref:System.Single | 0-1 vector representation to the paths the input feature vector passed through to reach the leaves. Its size is the number of non-leaf nodes in the tree ensemble model. |
Those output columns are all optional and user can change their names. Please set the names of skipped columns to null so that they would not be produced.