methodThis parameter specifies the method for computing the default values.This is usually used to reuse the same ExampleSet in further operators or to view the ExampleSet in the Results Workspace. The ExampleSet that was given as input is passed without changing to the output through this port. This model should not be used for 'actual' prediction tasks, but it can be used for comparing the results of 'actual' learning schemes with guessing. This model can now be applied on unseen data sets for the prediction of the label attribute. The default model is delivered from this output port. The output of other operators can also be used as input. It is the output of the Retrieve operator in the attached Example Process. This operator should not be used for 'actual' prediction tasks, but it can be used for comparing the results of 'actual' learning schemes with guessing.

Values of an attribute can be used as predictions the attribute can be selected through the attribute parameter. For nominal values the mode of the labels can be used. For a numeric label, the default value can be median or average of the label values or a constant default value can be specified through the constant parameter. The method to use for generating a default value can be selected through the method parameter.

The Default Model operator generates a model that predicts the specified default value for the label in all examples. SynopsisThis operator generates a model that provides the specified default value as prediction. You are viewing the RapidMiner Studio documentation for version 9.4 - Check here for latest version Default Model

Rapidminer studio 8.0