The function outputs a message (to the screen) and a model table.
Column Name | Data Type | Description |
---|---|---|
message | VARCHAR | Reports the parameter values used to train the model. |
Column Name | Data Type | Description |
---|---|---|
tree_id | INTEGER | Identifier of the boosted tree. The number of unique tree_id values depends on the NumBoostedTrees argument value and the number of vworkers. |
iter | INTEGER | Iteration (boosting round) number. |
class_num | INTEGER | Index of the class column to be predicted. For LossFunction('softmax'), the default, the number of unique class_num values is the number of class labels in the data set. For K class labels, the class_num values are the integers in the range [0, K-1]. For LossFunction('binomial'), there is only one class_num value. |
tree | VARCHAR | JSON representation of the decision tree. One row contains metadata about the model. For JSON types that can appear in the tree representation, see the Forest_Drive function Output. |
region_prediction | VARCHAR | JSON representation of the predicted values assigned to each region (leaf) of the tree. |