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2009 Jun 25
0
[e1071] Inconsistent results when using matrix.csr for svm() - possibly scaling problem
Dear all,
I'm training an SVM with default settings on a matrix csr (SparseM
package). I realized that if I train
the SVM with the (hopefully) equivalent matrix (Matrix package)
representation, the returned models and predictions
sometimes differ. I expected both representations of the same data
to lead to the same results though.
It could be that it is a scaling problem, because unscaled