Dear All,
I m just curious if this is okay that SVM takes several hours to build the
model based on training data set with ~1 million observations and 7 columns (6
variables + 1 class variable). Here is my code:
model<-svm(result ~ ., data=trainset)
where 'trainset' has 997594 obs. and 7 variables.
Is/are there any ways to improve performance?
Appreciate for any advices.
Best,
-Alex
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