I want to evaluate the overall accuracy rate of some clustering methods. For that, I have created 10 different data sets (by simulation) and I have measured the accuracy (events well-classified divided by total number of events) of each method on each data set. So at the end I have a total of 10 measures of accuracy for each method.
If I calculate the standard deviation of 10 accuracy measures, what means that measure? Is the method with the lowest standard deviation of accuracy the method with the highest reproducibility/repeatibility or whatelse? What would be the right term? Thank you -- View this message in context: http://n4.nabble.com/Standard-deviation-of-an-accuracy-rate-tp1819788p1819788.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
