Regression Evaluator (DB)
Computes several commonly used statistical tests to determine the accuracy of several columns (Predicted Values). These represent predictions against one column (Actual Value), which is specified as the "ground truth."
Information at a Glance
Category | Model Validation |
Data source type | DB |
Sends output to other operators | No |
Data processing tool | n/a |
Note: The Regression Evaluator (DB) operator is for database data only. For Hadoop data, use the
Regression Evaluator (HD) operator.
For information about the metrics used in this operator, see Computed Metrics and Use Case for the Regression Evaluator.
Input
A tabular data set from a database that contains a numeric column of actual values (known truth) and numeric column(s) of predicted values.
Configuration
Copyright © Cloud Software Group, Inc. All rights reserved.