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Indentifying and eliminating insignificant attributes
Within statistics we usually operate with a 5% significance value for determining which attributes are significant or insignificant in the model. Thereby one can remove insignificant attributes and get a "simpler" model. How would one go ahead doing this in Rapidminer and is there an automated process for it?