Output Table Schema
The table has the predicted class of each test sample.
| Column | Data Type | Description |
|---|---|---|
| id_column | INTEGER, SMALLINT, BIGINT, NUMERIC, NUMERIC(p), NUMERIC(p,a), VARCHAR, or VARCHAR(n) | Test sample identifier. |
| predict_value | VARCHAR | Predicted class of test sample. |
| predict_confidence | DOUBLE PRECISION | Prediction confidence, a value between 0 and 1, computed by formula that follows this table. The higher the value, the more dependable the prediction. |
| accumulate_column | Any | [Column appears once for each specified accumulate_column.] Column copied from InputTable. |
Formula for predict_confidence
where i is the attribute id, x i is the value of attributes in the sample, and w i is the weight of attribute i.