TD_ClassificationEvaluator

This function evaluate and emits various metrics of classification model based on it's predictions on the data

Options

Labels (strings seperated by new line): Specify the list of all labels present in the data
NumLabels: Specifies the number of labels in the dataset. Valid value is in between 1 and 512. Applicable only when user does not provide Labels argument.
ObservationColumn: Specify the ObservationColumn in InputTable which contains expected labels.
PredictionColumn: Specify the PredictionColumn in InputTable which contains predicted labels.
Output Schema: Output Schema, if Volatile is true then use user login as the schema.
Output Table: Output Table
VAL Location: VAL Location
Volatile: Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.