Hi everyone, I have a question about using RWeka packageļ¼
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 proportion) to select data in the dataset then redo n times, then to evaluate the performance.Is this correct? Thanks. Best regards , Hsiao ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
