Thanks for the answer, but I think this is not suitable for me, because as it appears in the example of "SMOTE" function, this methods is applicable having only two classes ( common/rare, yes/no, disease/no disease). However, in my data, I have four classes. If I am wrong, please, tell me.
Thanks, Nicolás. 2013/3/31 Prof. Dr. Matthias Kohl <matthias.k...@stamats.de> > see function SMOTE in package DMwR > hth > Matthias > > > On 31.03.2013 10:46, Nicolás Sánchez wrote: > >> I have a question about data mining. I have a dataset of 70 instances with >> 14 features that belong to 4 classes. As the number of each class is not >> enough to obtain a good accuracy using some classifiers( svm, rna, knn) I >> need to "oversampling" the number of instances of each class. >> >> I have heard that there is a method to do this. It consists in generating >> these new instances as follows: >> >> new_instance <---- original_instance + u(epsilon) >> >> U(epsilon) is a uniform number in the range [-epsilon,epsilon] and this >> number is applied to each feature of the dataset to obtain a new instance >> without modified the original class. >> >> Anybody has used this method to "oversampling" his data? Anybody has more >> information about it? >> >> Thanks in advance! >> >> [[alternative HTML version deleted]] >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide http://www.R-project.org/** >> posting-guide.html <http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> > -- > Prof. Dr. Matthias Kohl > www.stamats.de > [[alternative HTML version deleted]]
______________________________________________ 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.
