Output Table Schema
The table is a set of predictions for each test point.
Column | Data Type | Description |
---|---|---|
accumulate_column | Same as in input table | [Column appears once for each specified accumulate_column.] Column copied from input table. |
prediction | DOUBLE PRECISION | Predicted value. |
prob | DOUBLE PRECISION | [Column appears only if you specify OutputProb ('true') and omit Responses.] Probability that observation belongs to class "1". If GLML1L2 call that created model specified Family ('GAUSSIAN'), all values in this column are NULL.
|
prob_0 | DOUBLE PRECISION | [Only with Responses, one column appears for each response.] Probability that observation belongs to category 0. This value is 1 - prob, where prob is value in column prob. |
prob_1 | DOUBLE PRECISION | [Only with Responses, one column appears for each response.] Probability that observation belongs to category 1. This value is value in column prob. |