The function outputs a message and a model table.
Output Message Schema
Column | Data Type | Description |
---|---|---|
message | VARCHAR | Reports the number of classification trees computed and that the AdaBoost model was created. |
OutputTable Schema
This is the model table to input to AdaBoostPredict.
Column | Data Type | Description |
---|---|---|
classifier_id | INTEGER | Classifier identifier in the range [1, T]. |
classifier_weight | INTEGER | Classifier weight. |
node_id | INTEGER | Node identifier. |
node_label | VARCHAR | Node label. |
node_majorfreq | DOUBLE PRECISION | The weighted sum of the objects that belong to the category identified by node_label. |
attribute | VARCHAR | Name of the attribute. |
split_value | DOUBLE PRECISION | Split value for numeric attributes. For categorical attributes, this column contains NaN. |
left_bucket | VARCHAR | When the split value is a categorical attribute, the value in the left child of the node. |
right_bucket | VARCHAR | When the split value is a categorical attribute, the value in the right child of the node. |
left_label | VARCHAR | The output category for left child of the node. |
right_label | VARCHAR | The output category for right child of the node. |
left_majorfreq | DOUBLE PRECISION | The weighted sum of the objects that belong to the category identified by left_label. |
right_majorfreq | DOUBLE PRECISION | The weighted sum of the objects that belong to the category identified by right_label. |
left_label_probdist | VARCHAR | [Column appears only with OutputProb ('true').] Probability of each label for left child of node. |
right_label_probdist | VARCHAR | [Column appears only with OutputProb ('true').] Probability of each label for right child of node. |
prob_label_order | VARCHAR | [Column appears only with OutputProb ('true').] Order of probability of labels for left and right children of node. |