search for: numfold

...I have a question about using RWeka package? we know that instruction make_Weka_classifier that can help us to build a model,and evaluate_Weka_classifier instruction can help us to evaluate the performance of the model using on new data. But I have a question about how to using the parameter numFold in evaluate_Weka_classifier.Cross-validation means that using some parts to train our data,and some parts to do test,but it should be using in the step of building our model not evaluation. I try to think about the numFold=n in the evaluate_Weka_classifier may be this: randomly(but in propor...

lib/CodeGen/RegAllocLocal.cpp:38: warning: 'NumFolded' defined but not used This has been introduced because of r46821. However, maybe removing just the variable isn't enought, because the comments in the section that got modified by 46821 are not optimal: if (PhysReg) { // Register is available, allocate it! assignVirtToPhysReg(V...

Hi everyone, I have trouble to use RWeka, I tried: (w=weather dataset, all preditors are nominal) > m<-J48(play~., data=w) > e<-evaluate_Weka_classifier(m,cost = matrix(c(0,2,1,0), + ncol = 2),numFolds = 10, complexity = TRUE,seed = 123, + class = TRUE) it gives me exactly what I want, but when I tried the same classifier on the other published data: (iris dataset has all numeric preditors) > m<-J48(Species~., data=iris) > e <- evaluate_Weka_classifier(m, + cost = matrix(c(0,2,1,0...

...se some example data. w <- read.arff(system.file("arff","weather.nominal.arff", package = "RWeka")) ## Identify a decision tree. m <- J48(play~., data = w) m ## Use 10 fold cross-validation. e <- evaluate_Weka_classifier(m, cost = matrix(c(0,2,1,0), ncol = 2), numFolds = 10, complexity = TRUE, seed = 123, class = TRUE) e summary(e) e$details ============ But executing "J48(play~., data = w)" generates the following error: ====== Error in .jnew("weka/core/Attribute", attname[i], .jcast(levels, "java/util/List")) : java.lang.NoSuc...