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. |