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

	[[alternative HTML version deleted]]

