Test Result

This selection displays the result of executing the code that tests a classification or regression model. To view the model, click the Model name link.

The test results include the Confusion matrix. A confusion matrix measures the likelihood of the model to predict incorrect and correct values. The rows of a confusion matrix correspond to actual values observed and used for model testing; the columns correspond to predicted values produced by applying the model to the test data. For any pair of actual/predicted indexes, the value indicates the number of records classified in that pairing. For more information about the confusion matrix, see ODM Concepts in Where to Find More Information.