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Regression models are tested by comparing the predicted values to known target values in a set of test data. The historical data for a regression project is typically divided into two data sets: one for building the model and one for testing the model.
The test data must be compatible with the data used to build the model and must be prepared in the same way that the build data was prepared.
There are two ways to test regression models:
As part of regression build (default behavior of a Regression node is to build and test all models in the node.)
With a separate Test node.
Test settings specify which metrics to calculate and control the calculation of the metrics.
Oracle Data Mining provides several kinds of information to assess regression models:
To view test results, first test the model or models in the node:
If you tested the models using the default test in the regression node, run the node and then right-click the node. Select View Test Results and select the model that you are interest in. The Regression Model Test Viewer launches. To compare the test results for all models in the node, select Compare Test Results.
If you tested the models using a Test node, run the Test node and then right-click the node. Select View Test Results and select the model that you are interested in. The Regression Model Test Viewer launches. To compare the test results for all models in the node, select Compare Test Results.
You can also compare test results by going to the Models tab of the node where you tested the models and clicking