Threshold for incorrect predictions

You can specify the percentage of incorrect predictions that you will tolerate on validation data in a classification model. You do this by setting the cost rate value for a training run in a DM_ClasSettings value. The Tree Classification algorithm does not stop if this percentage is reached. This method is provided for compatibility with the SQL/MM standard. It does not have an effect on the model being generated.