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.
I thinks these accuracies are based on cross-validation runs. Whereas
the 80% accuracy you report using LDA is not based on cross
hi!
this is a question about lda (MASS) in R on a particular dataset.
I'm not a specialist about any of this but:
First with the well-known "iris" dataset, I tried using lda to discriminate
versicolor from the other to classes and I got approx. 70% of accuracy
testing on train set. In iris, versi
