search for: 10xval

...2 other so one can expect lda not to perform well since it cannot cluser the negative instances (seposa+virginica) together (Is this correct?) (KNN=96% in xval.) Now, I use my "real" dataset (900 instances, 21 attributes), which 2 classes can be serparated with accuracy no more than 80% (10xval) with KNN, SVM, C4.5 and the like. So I was very surprised to see that lda also gets an accuracy of 80% on it, because lda is very simple (finding the best line -- for a 2 classes problem -- and using projections on the line for classification.) So my question is: how does lda (in MASS) use the...