Dear list
I've a generic question about how to tune an SVM
I'm trying to classify with caret package some population data from a
case-control study . In each column of my matrix there are the SNP
genotypes , in each row there are the individuals.
I correctly splitted my total dataset in
Hi: I don't know anything about gentoypes but it sounds like you overfitted
the training set so you should try using regularization. In standard
svm-classification algorithms, that can be done by decreasing the parameter
C which decreases the objective functional penalty for mis-classifying. (
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