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this video is about the remove useless attributes operator this operator removes attributes which are deemed to be of no value so can be removed for example when youamp;#39;re classifying an attribute that has the same value for all of the examples will not affect the classification and so can be removed weamp;#39;ll cover parameter details about the numerical min deviation parameter the nominal uses above and nominal useless below and then finally the nominal remove ID like parameter so letamp;#39;s look at the process Iamp;#39;ve created for this again Iamp;#39;ve created some data details are not important for this video and then Iamp;#39;ve simply had a single remove useless attributes operator with various parameters so I might as well just run this so we can get straight on with the data so the very Iamp;#39;m basing this on is the iris data set with some renaming and so this is the raw iris data set and what Iamp;#39;ve done is added some new attributes and if you see he