Output Table Schema
The Primary Output table is as follows:
| Column | Data Type | Description |
|---|---|---|
| SeqNum | INTEGER | The sequence number of the row. |
| Prediction | VARCHAR | The column name that has predicted labels. |
| Mapping | VARCHAR | The mapping used for the label. |
| Class_N | BIGINT | The N columns denoting N labels. |
| Precision | REAL | The positive predictive value. Refers to the fraction of relevant instances among the total retrieved instances. |
| Recall | REAL | Refers to the fraction of relevant instances retrieved over the total amount of relevant instances. |
| F1 | REAL | F1 score, defined as the harmonic mean of the precision and recall. |
| Support | BIGINT | The number of times a label displays in the ObservationColumn. |
Output Table Schema
The Secondary Output table is as follows:
| Column | Data Type | Description |
|---|---|---|
| SeqNum | Integer | The sequence number of the row. |
| Metric | VARCHAR | The metric name. |
| MetricValue | REAL | The value for the corresponding metric. |