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 Oracle Data Mining Concepts in Where to Find More Information.
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