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Dear All, I am finding trouble trying to guild a Wrapper using random forest to evaluate the subsets: I do: nombi <- make_Weka_filter("weka/filters/supervised/attribute/AttributeSelection") datbin<- nombi(gene ~., data=X1X2X4X5W, control =Weka_control( S=list("weka.attributeSelection.GeneticSearch"), E=list("weka.attributeSelection.WrapperSubsetEval"),B = list("weka.cl...

...al question about the filters implemented in WEKA. I want to convert nominal attributes with k values into k binary attributes through the NominalToBinary filter ("weka.filters.supervised.attribute.NominalToBinary"). But unfortunately I can`t apply the filter to my data. Here is my code: nombi <- make_Weka_filter("weka/filters/supervised/attribute/NominalToBinary") x2bin <- nombi(data=dat, control =Weka_control(N=TRUE, A=TRUE)) I didn't get an error message, but it still don't work. My nominal attribute is of class "factor". Maybe the problem has to do...

Dear all, I am trying to construct a wrapper that uses random forest to evaluate the subsets using RWeka and when I do: nombi <- make_Weka_filter("weka/attributeSelection/WrapperSubsetEval") datbin<- nombi(gene ~., data=X1X2X3X4W, control =Weka_control( B = list("weka.classifiers.trees.RandomForest"))) I also have tried with an other induction algorithm: datbin<- nombi(gene ~., data=X1X2...