Output - Aster Analytics

Teradata AsterĀ® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
dita:mapPath
uce1497542673292.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1022
lifecycle
previous
Product Category
Software

The ROC function outputs a message and a table.

ROC Output Message Schema
Column Name Data Type Description
info VARCHAR Status of the ROC function.
The output table schema depends on the values of the ROC, AUC, and Gini arguments:
  • If the ROC argument has the value 'true', the output table has:
    • One row for each threshold for each model
    • Only ROC values
  • If the ROC argument has the value 'false', the output table has:
    • One row for each model
    • No ROC values
    • AUC values, Gini values, or both (depending on the values of the AUC and Gini arguments)
ROC Output Table Schema, ROC('true')
Column Name Data Type Description
model VARCHAR Appears only if you specify the ModelIdColumn argument.

Contains the model identifier or partition for a ROC curve, taken from model_id_column.

threshold DOUBLE PRECISION Contains the threshold at which the function classifies an observation as positive.
tpr DOUBLE PRECISION Contains the true positive rate for the threshold (the number of observations correctly predicted as positive based on the threshold, divided by the number of observations known to be positive).
fpr DOUBLE PRECISION Contains the false positive rate for the threshold (the number of observations incorrectly predicted as positive based on the threshold, divided by the number of observations known to be negative).
ROC Output Table Schema, ROC('false')
Column Name Data Type Description
model VARCHAR Appears only if you specify the ModelIdColumn argument.

Contains the model identifier or partition for a ROC curve, taken from model_id_column.

AUC DOUBLE PRECISION Contains the area under the ROC curve for the data in the partition. If the value of the AUC argument is 'false', this value is NULL.
Gini DOUBLE PRECISION Contains the Gini coefficient for the ROC curve for the data in the partition. If the value of the Gini argument is 'false', this value is NULL.