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.