Home > Testing and Tuning Models > Testing Classification Models
Classification models are tested by comparing the predicted values to known target values in a set of test data. The historical data for a classification 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 classification models:
As part of classification build (default behavior of a Classification node is to build and test all models in the node.)
With a separate Test Node.
Oracle Data Miner provides Test Metrics for Classification Models so that you can evaluate the model.
Classification Model Test Viewers describes the classification test viewers.