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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 youre classifying an attribute that has the same value for all of the examples will not affect the classification and so can be removed well 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 lets look at the process Ive created for this again Ive created some data details are not important for this video and then Ive 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 Im basing this on is the iris data set with some renaming and so this is the raw iris data set and what Ive done is added some new attributes and if you see here Im clicking on the result view here and you can see Ive add